Tuesday, March 17, 2020

Morbid Obesity Essays - Regression Analysis, Free Essays

Morbid Obesity Essays - Regression Analysis, Free Essays GET FILE='C:Usersw0018928DesktopPsi Beta National Project _Rudmann.sav'. DATASET NAME DataSet1 WINDOW=FRONT. USE ALL. COMPUTE filter_$=(College = 2). VARIABLE LABELS filter_$ 'College = 2 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT HAPPINESS /METHOD=STEPWISE TP_FUT /METHOD=ENTER Mind_COMB TP_FUT /SAVE MAHAL. Regression Notes Output Created10-APR-2014 12:41:39 Comments InputDataC:Usersw0018928DesktopPsi Beta National Project _Rudmann.sav Active DatasetDataSet1 FilterCollege = 2 (FILTER) Weightnone> Split Filenone> N of Rows in Working Data File304 Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing. Cases UsedStatistics are based on cases with no missing values for any variable used. SyntaxREGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT HAPPINESS /METHOD=STEPWISE TP_FUT /METHOD=ENTER Mind_COMB TP_FUT /SAVE MAHAL. ResourcesProcessor Time00:00:00.05 Elapsed Time00:00:00.05 Memory Required2940 bytes Additional Memory Required for Residual Plots0 bytes Variables Created or ModifiedMAH_1Mahalanobis Distance [DataSet1] C:Usersw0018928DesktopPsi Beta National Project _Rudmann.sav Descriptive Statistics MeanStd. DeviationN Happiness4.5978.87874294 Future Time Perspective3.7891.91512294 Mindset Intelligence Plus General2.4893.97998294 Correlations HappinessFuture Time PerspectiveMindset Intelligence Plus General Pearson CorrelationHappiness1.000.329-.119 Future Time Perspective.3291.000-.076 Mindset Intelligence Plus General-.119-.0761.000 Sig. (1-tailed)Happiness..000.020 Future Time Perspective.000..098 Mindset Intelligence Plus General.020.098. NHappiness294294294 Future Time Perspective294294294 Mindset Intelligence Plus General294294294 Variables Entered/Removeda ModelVariables EnteredVariables RemovedMethod 1Future Time Perspective.Stepwise (Criteria: Probability-of-F-to-enter = .050, Probability-of-F-to-remove >= .100). 2Mindset Intelligence Plus Generalb.Enter a. Dependent Variable: Happiness b. All requested variables entered. Model Summaryc ModelRR SquareAdjusted R SquareStd. Error of the EstimateChange Statistics R Square ChangeF Changedf1 1.329a.108.105.83118.10835.4891 2.343b.117.111.82840.0092.9621 Model Summaryc ModelChange Statistics df2Sig. F Change 1292.000 2291.086 a. Predictors: (Constant), Future Time Perspective b. Predictors: (Constant), Future Time Perspective, Mindset Intelligence Plus General c. Dependent Variable: Happiness ANOVAa ModelSum of SquaresdfMean SquareFSig. 1Regression24.518124.51835.489.000b Residual201.733292.691 Total226.251293 2Regression26.551213.27619.345.000c Residual199.700291.686 Total226.251293 a. Dependent Variable: Happiness b. Predictors: (Constant), Future Time Perspective c. Predictors: (Constant), Future Time Perspective, Mindset Intelligence Plus General Coefficientsa ModelUnstandardized CoefficientsStandardized CoefficientstSig. BStd. ErrorBeta 1(Constant)3.400.20716.439.000 Future Time Perspective.316.053.3295.957.000 2(Constant)3.638.24814.651.000 Future Time Perspective.309.053.3225.830.000 Mindset Intelligence Plus General-.085.050-.095-1.721.086 Coefficientsa Model95.0% Confidence Interval for BCollinearity Statistics Lower BoundUpper BoundToleranceVIF 1(Constant)2.9933.807 Future Time Perspective.212.4211.0001.000 2(Constant)3.1504.127 Future Time Perspective.205.414.9941.006 Mindset Intelligence Plus General-.183.012.9941.006 a. Dependent Variable: Happiness Excluded Variablesa ModelBeta IntSig.Partial CorrelationCollinearity Statistics Tolerance 1Mindset Intelligence Plus General-.095b-1.721.086-.100.994 Excluded Variablesa ModelCollinearity Statistics VIFMinimum Tolerance 1Mindset Intelligence Plus General1.006.994 a. Dependent Variable: Happiness b. Predictors in the Model: (Constant), Future Time Perspective Collinearity Diagnosticsa ModelDimensionEigenvalueCondition IndexVariance Proportions (Constant)Future Time PerspectiveMindset Intelligence Plus General 111.9721.000.01.01 2.0288.414.99.99 212.8681.000.00.01.02 2.1095.133.02.15.78 3.02311.067.98.84.20 a. Dependent Variable: Happiness Residuals Statisticsa MinimumMaximumMeanStd. DeviationN Predicted Value3.62455.09914.5978.30103294 Std. Predicted Value-3.2331.665.0001.000294 Standard Error of Predicted Value.049.191.080.024294 Adjusted Predicted Value3.58125.11324.5974.30158294 Residual-2.527772.10788.00000.82557294 Std. Residual-3.0512.545.000.997294 Stud. Residual-3.0672.561.0001.002294 Deleted Residual-2.553042.13613.00043.83471294 Stud. Deleted Residual-3.1122.586.0001.006294 Mahal. Distance.02314.5851.9932.019294 Cook's Distance.000.074.004.008294 Centered Leverage Value.000.050.007.007294 a. Dependent Variable: Happiness USE ALL. COMPUTE filter_$=(GENDER = 1). VARIABLE LABELS filter_$ 'GENDER = 1 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT HAPPINESS /METHOD=STEPWISE TP_FUT /METHOD=ENTER Mind_COMB TP_FUT /SAVE MAHAL. USE ALL. COMPUTE filter_$=(GENDER = 2). VARIABLE LABELS filter_$ 'GENDER = 2 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT HAPPINESS /METHOD=STEPWISE TP_FUT /METHOD=ENTER Mind_COMB TP_FUT /SAVE MAHAL. USE ALL. COMPUTE filter_$=(GENDER = 1). VARIABLE LABELS filter_$ 'GENDER = 1 (FILTER)'. VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'. FORMATS filter_$ (f1.0). FILTER BY filter_$. EXECUTE. REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT HAPPINESS /METHOD=STEPWISE TP_FUT /METHOD=ENTER Mind_COMB TP_FUT /SAVE MAHAL. Regression: Whole Sample Males Notes Output Created10-APR-2014 12:57:33 Comments InputDataC:Usersw0018928DesktopPsi Beta National Project _Rudmann.sav Active DatasetDataSet1 FilterGENDER = 1 (FILTER) Weightnone> Split Filenone> N of Rows in Working Data File208 Missing Value HandlingDefinition of MissingUser-defined missing values are treated as missing. Cases UsedStatistics are based on cases with no missing values for any variable used. SyntaxREGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) R ANOVA COLLIN TOL CHANGE /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT HAPPINESS /METHOD=STEPWISE TP_FUT /METHOD=ENTER Mind_COMB TP_FUT /SAVE MAHAL. ResourcesProcessor Time00:00:00.02 Elapsed Time00:00:00.02 Memory Required3100 bytes Additional Memory Required for Residual Plots0 bytes Variables Created or ModifiedMAH_9Mahalanobis Distance Descriptive Statistics MeanStd. DeviationN Happiness4.5922.87297198 Future Time Perspective3.4697.91051198 Mindset Intelligence Plus General2.60251.06407198 Correlations HappinessFuture Time PerspectiveMindset Intelligence Plus General Pearson CorrelationHappiness1.000.238-.224 Future Time Perspective.2381.000-.068 Mindset Intelligence Plus General-.224-.0681.000 Sig. (1-tailed)Happiness..000.001 Future Time Perspective.000..171 Mindset Intelligence Plus General.001.171. NHappiness198198198 Future Time Perspective198198198 Mindset Intelligence Plus General198198198 Variables Entered/Removeda ModelVariables EnteredVariables RemovedMethod 1Future Time Perspective.Stepwise (Criteria: Probability-of-F-to-enter = .050, Probability-of-F-to-remove >= .100). 2Mindset Intelligence Plus Generalb.Enter a. Dependent Variable: Happiness b. All requested variables entered. Model Summaryc ModelRR SquareAdjusted R SquareStd. Error of the EstimateChange Statistics R Square ChangeF Changedf1 1.238a.057.052.84994.05711.8211 2.317b.100.091.83225.0439.4211 Model Summaryc ModelChange Statistics df2Sig. F Change 1196.001 2195.002 a. Predictors: (Constant), Future Time Perspective b. Predictors: (Constant), Future Time Perspective, Mindset Intelligence Plus General c. Dependent Variable: Happiness ANOVAa ModelSum of SquaresdfMean SquareFSig. 1Regression8.53918.53911.821.001b Residual141.591196.722 Total150.130197 2Regression15.06527.53210.875.000c Residual135.066195.693 Total150.130197 a. Dependent Variable: Happiness b. Predictors: (Constant), Future Time Perspective c. Predictors: (Constant), Future Time Perspective, Mindset Intelligence Plus General Coefficientsa ModelUnstandardized CoefficientsStandardized CoefficientstSig. BStd. ErrorBeta 1(Constant)3.799.23915.925.000 Future Time Perspective.229.067.2383.438.001 2(Constant)4.292.28415.137.000 Future Time Perspective.215.065.2243.294.001 Mindset Intelligence Plus General-.171.056-.209-3.069.002 Coefficientsa Model95.0% Confidence Interval for BCollinearity Statistics Lower BoundUpper BoundToleranceVIF 1(Constant)3.3284.269 Future Time Perspective.097.3601.0001.000 2(Constant)3.7334.851 Future Time Perspective.086.344.9951.005 Mindset Intelligence Plus General-.282-.061.9951.005 a. Dependent

Sunday, March 1, 2020

What Is a Preface (And Is It the Same as an Introduction or Foreword)

What Is a Preface (And Is It the Same as an Introduction or Foreword) What is a Preface? (and is it the Same as an Introduction or Foreword?) A preface is an introductory passage written about a book by its author. It's often viewed as an apologia  - which is not so much an apology as an explanation or defense of why the book exists. Because the preface is  part of a book's front matter (the pages at the start of a book with Roman numeral page numbers), it’s often confused with the foreword and the introduction.However, there are key differences between the three:A preface is written by the author about the book and is separate from the body of the book (the pages with Arabic numbers),An introduction is written by the author about the subject of the book and is part of the body,And a foreword isn’t even written by the author! It's separate from the body, and written by an expert in the field who adds credibility to the subject of the book.In this post, we'll cover all three in more detail to help you figure out how best to introduce your own book. What's the difference between a preface, foreword, and introduction? At last, the answer. Why use a preface?For an author, the preface presents the opportunity to introduce yourself, the book, and any previous projects or experiences that might have informed it. Prefaces are your chance to tell the book’s story - the story of how it went from a thought in your head to a book in our hands.Prefaces are most common in nonfiction (prologues are more popular for fiction books). However, they are present in both. They enable you to speak directly about:What you’ve created,How you created it, andWhy it’s important - or why you specifically are qualified to write about it.Many authors will even sign the end of a preface, date it, and list the location from which they wrote it (rounding out the who, when, and where of it all), like Mark Twain did below: How are you going to start your book? Let us know if you're opting for a preface, foreword, or introduction in the comment box below.

Thursday, February 13, 2020

Taking municipal vehicles home Research Paper Example | Topics and Well Written Essays - 1250 words

Taking municipal vehicles home - Research Paper Example According to Plaisance, it was recommended that city employees should be paying a weekly fee in order to enjoy the privilege of driving home in a municipal vehicle (Plaisance par. 5). The strict measure was proposed in order to discourage the habit since there was huge wastage of public resources. Taking municipality vehicle’s home is a major concern since it acts as an indirect fining to city residents. Municipality officials drive home on their official work cars, thus, consuming much fuel that translates into millions of dollars. Consequently, there is huge wastage of public funds since driving home is a personal issue that is of no benefit to the citizens who are heavily taxed (McDonald, par. 2). Moreover, workers should be given a framework of guidelines that ensures that such loopholes of public funds wastage are mended. Various theories, as well as views, depict people view the issue. There are those that view the issue as a normal one whereas others deem it as a critical concern. City officials deem it as a practice that encourages excessive use of the limited municipality resources. Therefore, employees who do not work on â€Å"regular and current† basis should not be allowed to take vehicles home. Many cities have enacted laws that regulate the number of take-home vehicles. The policy of take-home vehicles puts a city’s constrained resources under financial pressure. Therefore, proper policy measures that control the situation need to be put in place. Nonetheless, there are various legal requirements that limit the level of taking the municipal vehicles’ home. Municipal employees who are not in a â€Å"call around the clock† duty cannot use vehicles same to those who work intermittently. However, there are other groups of workers who have remained proof of these legal steps. These groups entail workers who can be called required to be during any moment. Otherwise, the law constrains municipal workers from using such city vehicles except when

Saturday, February 1, 2020

Object of choice Essay Example | Topics and Well Written Essays - 750 words

Object of choice - Essay Example The vital role that paper plays in the lives of people today cannot be overlooked. Paper as an object was chosen owing to its immense influence it has on the lives of people today; everyone in the society interact with papers in one way or the other. From offices, work environments, schools, court, police stations, manufacturing industries to the general society, the necessity of papers is highly appreciated. Paper traces its history from the emergence of education and the need to communicate ideas on a more erudite ways. There are several issues that can hardly be expressed on electronic forms and paper has to be availed to verify the authenticity of the documents since through papers signatures and rubber stamps can be inserted (Dimopoulos, 128-9). Books are some of the key aspects of the society that has led to the current developments and these are products of paper work. Well, one would argue that recent technology has replaced paper, but a question can arise, for example, †˜Can one use the current technology to replace tissue paper used in the toilets?†. The paper issue when mentioned in comparison to the current stance of technology results to arguments which, therefore, make this object a relevant object of analysis. The object is a concrete item that is artificially made and this makes it fit with the course instructions. It is assumed that the paper generation has embraced all societies in the world and everyone in one way or the other has interacted with a paper.

Friday, January 24, 2020

Modern Marvels :: Technology

As vainglorious as it may seem, there are actually a few people out there who think they are the picture of perfection. I definitely excluded myself from that group when I was born, on October 29, 1991, with 3284932273 flaws. Although the list of my short-comings is extremely extensive there is one that is leading to my inevitable downfall, my dependency of technology is extremely high! If my memory serves me correct, when I was younger I had an excellent memory. I was able to recall almost any information within the blink of an eye. Whether it was a telephone number or an address I knew it. It took one piece of technology to change this virtue, that device was a cell phone. When I was 12 years old, I obtained my first cell phone for my birthday. Prior to that day there wasn?t a thing in the world I thought I needed more. I stored phone numbers and other important information that at one point in time I remembered unmistakably. Now it?s as if I suffer from a mild case of amnesia. If I can barely keep in mind school deadlines, how can I retain a phone number from the lost portion of my brain? When I have my ?senior moments? and I can?t remember a thing, I am in total distress. I suffer mentally and physically, my headaches are unbearable at times. My computer has made just as much of a contribution to my demise as my cell phone, over the years it as accomplished myriad milestones. The internet is better than it has ever been, information can be quickly retrieved, and entertainment is around nearly every corner. Although the computer conveniences millions of people it hurts them just as much. I don?t know a person in the world (familiar with technology) who doesn?t like technological advancements, but it encourages laziness. There are a lot of people in the world who sit around and use the computer for every aspect of life. They basically live their life through a computer screen, they schedule, pay bills, organize financial information, shop, and a slew of other activities. Not looking on the brighter side of things, this lifestyle can lead to ghastly consequences such as obesity and many other health problems. Many people take for granted the technology that we abuse and habitually overuse in our daily lives.

Thursday, January 16, 2020

Current Childminding Legislation Essay

1.1 Current Childminding Legislation The following is an overview of the current legislation which has an affect on childminders, parents and children. Equality Act 2010 The act replaced previous anti-discrimination laws with a single act to make the law simpler and to remove inconsistencies. The act covers nine protected characteristics. The characteristics applying to home-based childcare include disability, race, religion or belief and gender. Childcare Act (2006) The act lays out registration and inspection arrangements, providing for an integrated education and care framework for the Early Years and general childcare registers. It introduced the Early Years Foundation Stage (EYFS) in England. The Early Years Register and the General Childcare Register provide a regulatory framework for childcare under the act. Children Act (2004) Identified as the most influential law for home-based childcare, it outlines that the general function of the Act is for the Children’s Commissioner to be concerned in particular with the views and interests of children so far as relating to the following aspects of their well-being: physical and mental health and emotional well-being; protection from harm and neglect; education, training and recreation; the contribution made by them to society; social and economic well-being. These five outcomes for children are recognised as the overarching aim of the Early Years Foundation Stage, namely the Every Child Matters outcomes of staying safe, being healthy, enjoying and achieving, making a positive contribution, and achieving economic well-being. Health Protection Agency Act (2004) Established the Health Protection Agency. The Agency has numerous functions in relation to health, including the prevention of the spread of infectious disease. Care of Substances Hazardous to Health (COSHH) Regulations (2002) COSHH deal with preventing or reducing workers’ exposure to hazardous substances. All parts of COSHH apply if a home-based childcare provider employs any staff. Special Educational Needs and Disability Act (2001) This act protects persons from discrimination on the grounds of a disability, and it requires that reasonable adjustments must be made to services, provisions and/or premises so that disabled persons do not suffer significant disadvantages compared to non-disabled persons. Children are covered by this legislation as they are persons in the eyes of the law. Data Protection Act (1998) It protects sensitive personal data being published without a persons consent. Where children are involved consent has to be given by a parent or guardian. Protection of Children Act (1999) The Act states that the Secretary of State shall keep a list of individuals who are considered unsuitable to work with children. Human Rights Act (1998) The Act incorporates the European Convention on Human Rights into UK law. Children are covered by this legislation although not specifically mentioned. Code of Practice for First Aid (1997) The Act sets out standard practice and guidance for trained first aiders and gives tailored advice to show different people in industry what they need to do to meet their legal responsibilities for health and safety. Food Safety (General Food Hygiene) Regulations 1995 This Act is not currently applicable to registered childminders but acquiring a basic Food Hygiene Certificate is considered good practice. Local authorities require registered childminders to register with their local Environmental Health Department and obtain the following document: ‘Safer food, better business for Childminders’ available from the Food Standards Agency. Reporting of Injuries, Diseases and Dangerous Occurrences Regulations (RIDDOR) (1995) This act specifies what kind of accidents and incidents that happen in the work place are required to be reported to RIDDOR. Code of Practice for the Identification and Assessment of Children with Special Educational Needs (1994, revised in 2001) This Code of Practice provides practical advice to educational settings, including early years settings, on carrying out their statutory duties to identify, assess and make provision for children’s special educational needs. Children Act (1989) This Act was introduced in an effort to reform and clarify the existing laws affecting children and the current child protection system is based on it. Children’s rights were acknowledged for the first time in UK law. Amongst other things, the act legislates to protect children who may be suffering or  are likely to suffer significant harm. Public Health (Control of Disease) Act (1984) This act states the need for notification and possible exclusion periods for certain infectious diseases. Exclusions for children include exclusion from schools, places of entertainment or assembly. Education Act (1981) This Act became law in 1983 and tried to provide adequate safeguards, rights and duties for all those concerned with the education of children with special educational needs and to ensure these children’s rights to be integrated into the life and work of the community. It also recognised parents’ rights regarding their children’s education. ROLE OF REGULATORY BODIES Regulatory bodies in the UK are Ofsted (England) Care and Social Services Inspectorate Wales (CSSIW) Standards (Wales) Scottish Commission for the Regulation of Care (Scotland) Local Health and Social Services Trust (Northern Ireland) The fundamental role of these regulatory bodies is to ensure that children receive the best possible care in all the settings a child attends away from their home. The systems they have in place will also reassure parents, guardians and carers who have to be able to entrust their child to an organisation or individual to look after. The following information looks at the role of regulatory bodies in relation to home-based childcare. All home-based childcare providers are required to register with the regulatory body of their country. The regulatory bodies in the UK all have similar registration requirements and regulations in place. The regulations make sure that all home-based childcare providers follow the same structure of care, learning and development for children, which also apply to all  other Early Years settings (daycare centres, nurseries, etc.). This structure is implemented to improve the quality and consistency of care in all Early Years settings and therefore also helps to create a framework for an important partnership – the partnership between parents and professionals. In England this structure is called the Early Years Foundation Stage (EYFS – birth to five years old) which promotes children to learn through play; covers basic welfare requirements such as safeguarding children; making sure that people who care for children are suitable as well as the premises and equipment used; covers the learning and development requirements for children. It also promotes equality of opportunity for all children Regulatory bodies have systems and processes in place to control the registration process and the inspections carried out on registered home-based childcare providers. They also have the power to investigate a complaint or concern raised against a childcare provider to make sure the welfare requirements are met. If it emerges that the necessary requirements are not met, regulatory bodies are in a position to take action against the childcare provider. All these systems are in place to ensure that children receive the best possible care in all the settings they attend away from their home.

Wednesday, January 8, 2020

History of the US Court Seamons v Snow Case Free Essay Example, 500 words

Brian Seamons (Plaintiff) was a junior student at Sky View High School in Smithfield, Utah, and a member of the school s football team. On October 11, 1993, Brian was assaulted in the locker room by his teammates. As he finished showering after practice, he was grabbed, forcibly restrained, and bound him to a towel rack with adhesive tape while his other teammates watched. To add humiliation, one of his teammates brought the girl he once dated to see him in his state. The next day, October 12, Brian together with his parents went to the police, school administrators and other authorities including his football coach and the school principal to report the said incident. On October 13, Brian and his parents had a meeting with his football coach, Doug Snow (Defendant) and school principal, Myron Benson (Defendant). Coach Snow ensured Brian and his parents that he would support Brian s decision and encouraged him to remain on the team. Brian eventually decided to remain on his team and attended the meeting scheduled by Coach Snow to discuss the incident with his team captains. Coach Snow wanted to mend the feelings of his team since they have coming games and this would create distractions if the issue continues. We will write a custom essay sample on History of the US Court: Seamons v Snow Case or any topic specifically for you Only $17.96 $11.86/page Coach Snow gave Brian a time to think through the situation before deciding. Brian decided that he will not apologize to his teammates. This time Coach Snow that they can t have him on the team. Brian Seamons filed a civil action against his football coach, school principal and school district under 42 U. S.C. 1983. The district court has granted summary judgment in favor of all the defendants. Brian appealed this action to this court. Issues: Whether or not the district court erred in their decision to grant all the defendants the motion to dismiss all of Brian Seamons claims? Holding: The United States Court of Appeals, the Tenth Circuit affirmed the district court s dismissal of all claims except the free speech claim. The court remanded the district court s decision and held that Brian Seamons properly stated a claim under First Amendment and the district court s dismissal had been premature. The judgment of the district court is REVERSED with respect to defendants Douglas Snow and the Cache County School District, and the case is REMANDED for further proceedings consistent with this opinion. The judgment with respect to Defendant Myron Benson is AFFIRMED. Rationale: According to the United States Court of Appeals Tenth Circuit, they have reviewed the whole record of summary judgment in the light that is most favorable to the party contrasting the summary judgment based on Weir v. Anaconda Co. , 773 F. 2d 1073, 1079 (10th Cir. 1985) and Riley v. Brown Root, Inc. , 896 F. 2d 474, 476 (10th Cir. 1990). Finally, if the district court made any findings of fact, they are not permitted to the reverence due to findings of fact made after a trial on undecided factual issues based on Riley, 896 F. 2d at 476-77 n. 5 which ruled that determinations made in ruling on summary judgment are not reviewable under the clearly erroneous standard of Rule 52(a), but are reviewed under Rule 56(c) to ascertain whether there is an absence of any genuine issue of material fact. Additional comments: I agree with the decision of the Court of Appeals to remand the decision of the district court dismissing Brian s claim of free speech under the First Amendment. I believe that Brian should have been tried accordingly and the district court should have reviewed the facts presented by both parties before deciding to dismiss the summary judgment to warrant time in the federal courts. Additional question: Should a 16- or 17-year-old high school football player alleged to have committed an act of hazing to be tried as an adult? Why or why not? For me, a 16 or 17-year-old high school football player alleged to have committed an act of hazing should not be tried as an adult. I believe that students aged 16-17 years old are still not adults as their cognitive skills are still developing. They are still children by heart. Their behaviors are still impulsive and they still do not have the sense of minding the consequences of their actions. If they have committed an act of hazing, they probably see this action as a tradition of their organization and since no one has really intervened in them and told them it is illegal to do so, they may have established such acts as legal or allowable. I believe they just lack guidance and proper intervention; they should be given a chance to be tried not in the adult criminal justice system.