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

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.