a. Dependent Variable: Meanconscientiousness Regression Variables Entered/Removed Variables Variables Model Entered Remo

Business, Finance, Economics, Accounting, Operations Management, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Algebra, Precalculus, Statistics and Probabilty, Advanced Math, Physics, Chemistry, Biology, Nursing, Psychology, Certifications, Tests, Prep, and more.
Post Reply
answerhappygod
Site Admin
Posts: 899604
Joined: Mon Aug 02, 2021 8:13 am

a. Dependent Variable: Meanconscientiousness Regression Variables Entered/Removed Variables Variables Model Entered Remo

Post by answerhappygod »

A Dependent Variable Meanconscientiousness Regression Variables Entered Removed Variables Variables Model Entered Remo 1
A Dependent Variable Meanconscientiousness Regression Variables Entered Removed Variables Variables Model Entered Remo 1 (52.95 KiB) Viewed 38 times
A Dependent Variable Meanconscientiousness Regression Variables Entered Removed Variables Variables Model Entered Remo 2
A Dependent Variable Meanconscientiousness Regression Variables Entered Removed Variables Variables Model Entered Remo 2 (28.3 KiB) Viewed 38 times
a. Dependent Variable: Meanconscientiousness Regression Variables Entered/Removed Variables Variables Model Entered Removed Method 1 HoursSleepLas Enter tNight a. Dependent Variable: MeanHappiness b. All requested variables entered. Model Summary Adjusted R Model R R Square Square 1 .0794 .006 -.011 a. Predictors: (Constant), HoursSleepLastNight Std. Error of the Estimate .71423 F Mean Square .182 .510 Sig. .5536 ANOVA Sum of Model Squares df 1 Regression .182 1 Residual 29.077 57 Total 29.259 58 a. Dependent Variable: MeanHappiness b. Predictors: (Constant), HoursSleepLastNight .356 Coefficients a Standardized Coefficients Beta t Unstandardized Coefficients Model B Std. Error 1 (Constant) 3.152 .372 HoursSleepLastNight .031 .051 a. Dependent Variable: MeanHappiness 8.482 597 Sig <.001 .553 .079

QUESTION 9 1 points Based on the SPSS output, what is the value of b in the regression equation Y = bx + a? 3.152 .079 0.031 O.553 QUESTION 10 1 points Based the SPSS output, what is the value of a in the regression equation Y' =bX+a? 3.152 0.079 031 .372
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!
Post Reply