Question

Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .972a .945 .933 .860 a. Predictors: (Constant), Importance, Duration ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 114.264 2 57.132 77.294 .000b Residual 6.652 9 .739 Total 120.917 11 a. Dependent Variable: Attitude b. Predictors: (Constant), Importance, Duration Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) .337 .567 .595 .567 Duration .481 .059 .764 8.160 .000 Importance .289 .086 .314 3.353 .008 a. Dependent Variable: Attitude Q 1. What r signifies in the model summary? (2 pts) Q 2. How do you explain r square in the Model Summary? (3 pts) Q 3. What does that Sig. .000 tell us in ANOVA table and how do you read DF in the table? (2 pts) Q 4. How do you describe coefficients table here? (3 pts)

          Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .972a .945 .933 .860
a. Predictors: (Constant), Importance, Duration

ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 114.264 2 57.132 77.294 .000b
Residual 6.652 9 .739
Total 120.917 11
a. Dependent Variable: Attitude
b. Predictors: (Constant), Importance, Duration

Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
1 (Constant) .337 .567 .595 .567
Duration .481 .059 .764 8.160 .000
Importance .289 .086 .314 3.353 .008
a. Dependent Variable: Attitude

Q 1. What r signifies in the model summary? (2 pts)
Q 2. How do you explain r square in the Model Summary? (3 pts)
Q 3. What does that Sig. .000 tell us in ANOVA table and how do you read DF in the table? (2 pts)
Q 4. How do you describe coefficients table here? (3 pts)

Model Summary
Model R R Square Adjusted R Square Std. Error of the Estimate
1 .972a .945 .933 .860
a. Predictors: (Constant), Importance, Duration

ANOVAa
Model Sum of Squares df Mean Square F Sig.
1 Regression 114.264 2 57.132 77.294 .000b
Residual 6.652 9 .739
Total 120.917 11
a. Dependent Variable: Attitude
b. Predictors: (Constant), Importance, Duration

Coefficientsa
Model Unstandardized Coefficients Standardized Coefficients t Sig.
B Std. Error Beta
1 (Constant) .337 .567 .595 .567
Duration .481 .059 .764 8.160 .000
Importance .289 .086 .314 3.353 .008
a. Dependent Variable: Attitude

Q 1. What r signifies in the model summary? (2 pts)
Q 2. How do you explain r square in the Model Summary? (3 pts)
Q 3. What does that Sig. .000 tell us in ANOVA table and how do you read DF in the table? (2 pts)
Q 4. How do you describe coefficients table here? (3 pts)

Added by Tom-S G.

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