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.   #### Earn Coins

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