Regression. Notes. Page 1. Output Created Comments 25-JAN :29:55
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1 REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) BCOV R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT favorability /METHOD=ENTER Zcontemp ZAnxious6 zallcontact. Regression Notes Output Created Comments Input Missing Value Handling Data Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used 25-JAN :29:55 /Users/bettencourta/Docu ments/mollie's Seems newst for Anxiety intergroup Generalization Data/2017_No_HR_No_le ss4minutes_new_super_ Merged_3_datasets.sav DataSet2 User-defined missing values are treated as missing. Statistics are based on cases with no missing values for any variable used. 379 Page 1
2 Syntax Resources Notes Processor Time Elapsed Time Memory Required Additional Memory Required for Residual Plots REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) BCOV R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT favorability /METHOD=ENTER Zcontemp ZAnxious6 zallcontact bytes 0 bytes 00:00: :00:00.00 Variables Entered/Removed a Variables Entered 1 (allcontact), (Contemp), IntContempAn x6, (Anxious6) b Variables Removed Method. Enter a. Dependent Variable: Favorability b. All requested variables entered. R R Square Summary Adjusted R Square Std. Error of the Estimate a a. Predictors: (Constant), (allcontact),,, Page 2
3 ANOVA a 1 Regression Residual Total Sum of Squares df Mean Square F Sig b a. Dependent Variable: Favorability b. Predictors: (Constant), (allcontact),,, Coefficients a 1 (Constant) (allcontact) Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig Coefficients a 1 (Constant) (allcontact) 95.0% Confidence Interval for B Lower Bound Upper Bound a. Dependent Variable: Favorability Page 3
4 Coefficient Correlations a 1 Correlations (allcontact) Covariances (allcontact) (allcontact) (Contemp) IntContempAnx E E E-5 Coefficient Correlations a 1 Correlations (allcontact) Covariances (allcontact) (Anxious6) E a. Dependent Variable: Favorability REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) BCOV R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT POSITIVETRAITS /METHOD=ENTER Zcontemp ZAnxious6 zallcontact. Regression Page 4
5 Output Created Comments Input Missing Value Handling Syntax Resources Data Notes Active Dataset Filter Weight Split File N of Rows in Working Data File Definition of Missing Cases Used Processor Time Elapsed Time Memory Required Additional Memory Required for Residual Plots 25-JAN :30:38 /Users/bettencourta/Docu ments/mollie's Seems newst for Anxiety intergroup Generalization Data/2017_No_HR_No_le ss4minutes_new_super_ Merged_3_datasets.sav DataSet2 User-defined missing values are treated as missing. Statistics are based on cases with no missing values for any variable used. REGRESSION /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) BCOV R ANOVA /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT POSITIVETRAITS /METHOD=ENTER Zcontemp ZAnxious6 zallcontact bytes 0 bytes :00: :00:00.00 Page 5
6 Variables Entered/Removed a Variables Entered 1 (allcontact), (Contemp), IntContempAn x6, (Anxious6) b Variables Removed Method. Enter a. Dependent Variable: positivetraits b. All requested variables entered. R R Square Summary Adjusted R Square Std. Error of the Estimate a a. Predictors: (Constant), (allcontact),,, ANOVA a 1 Regression Residual Total Sum of Squares df Mean Square F Sig b a. Dependent Variable: positivetraits b. Predictors: (Constant), (allcontact),,, Page 6
7 Coefficients a 1 (Constant) (allcontact) Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig Coefficients a 1 (Constant) (allcontact) 95.0% Confidence Interval for B Lower Bound Upper Bound a. Dependent Variable: positivetraits Coefficient Correlations a 1 Correlations (allcontact) Covariances (allcontact) (allcontact) (Contemp) IntContempAnx E E E E E-5 Page 7
8 Coefficient Correlations a 1 Correlations (allcontact) Covariances (allcontact) (Anxious6) E a. Dependent Variable: positivetraits Page 8
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Week 3: Prediction and Confidence Intervals at specified x. Testing lack of fit with replicates at some x's. Inference for the correlation. Introduction to regression with several explanatory variables.
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