Question

Model Summary Model R R Square Adjusted R Square      Std. Error of the Estimate 1...

Model Summary

Model

R

R Square

Adjusted R Square     

Std. Error of the Estimate

1

.816

.666

.629

1.23721

a. Predictors: (Constant),x        

ANOVA    

Model

Sum of Squares

df

Mean Square

F                       Sig

Regression

Residual

Total

27.500

13.776

41.276

1

9

10

27.500

1.531

17.966                 .002b

                   a. Dependent Variable: Y

                   b. Predictors: (Constant), X

Coefficients

Model

Understand Coefficients

B               Std Error

Standardized

Coefficients

     Beta

t

Sig

1 (Constant)

       x

3.001             1.125

.500                 .118

.816

2.667

4.239

.026

.002

a. Dependent Variable: Y

Using the information given above, answer the following questions:

a. find linear correlation coefficient, r ?

b. find r2 , interpretation for r2.

c. Can the regression model be used for prediction of y? give reasons

d. Write down the regression equation, identifying the y-intercept and slope values.

e. Give an interpretation of the slope (b1 ) value.

f. Predict the value of y, when x = 14. Give your answer to 2 decimal places.

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