13. What proportion of the variance in Course % is attributable to the regression model?   A-  .568 B-  .322 C-  960.521 D-  22.822 14. What is the regression equation for this analysis?   A. Y=55.423x+.370 B. Y=55.423r+6.331 C. Y=.370x+55.423 D. Y=.370x+.077

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13. What proportion of the variance in Course % is attributable to the regression model?  

A-  .568

B-  .322

C-  960.521

D-  22.822

14. What is the regression equation for this analysis?  

A. Y=55.423x+.370
B. Y=55.423r+6.331
C. Y=.370x+55.423
D. Y=.370x+.077

Model Summary
Std. Error of
the Estimate
Adjusted R
Model
R
R Square
Square
1
.568*
322
308
6.48743
a. Predictors: (Constant), Test 1 (%)
ANOVA"
Sum of
Squares
Model
df
Mean Square
F
Sig.
Regression
960.521
„000
1
960.521
22.822
Residual
2020.162
48
42.087
Total
2980.683
49
a. Dependent Variable: Course %
b. Predictors: (Constant), Test 1 (%)
Cofficients
Standardized
Unstandardized Coefficients Coeffiients
Model
B
Std. Error
Beta
Sig.
(Constant)
55.423
6.331
8.755
.000
Test 1 (%)
370
„077
.568
4.777
.000
a. Dependent Variable: Course %
Transcribed Image Text:Model Summary Std. Error of the Estimate Adjusted R Model R R Square Square 1 .568* 322 308 6.48743 a. Predictors: (Constant), Test 1 (%) ANOVA" Sum of Squares Model df Mean Square F Sig. Regression 960.521 „000 1 960.521 22.822 Residual 2020.162 48 42.087 Total 2980.683 49 a. Dependent Variable: Course % b. Predictors: (Constant), Test 1 (%) Cofficients Standardized Unstandardized Coefficients Coeffiients Model B Std. Error Beta Sig. (Constant) 55.423 6.331 8.755 .000 Test 1 (%) 370 „077 .568 4.777 .000 a. Dependent Variable: Course %
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