Question

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 r^2.

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.

Answer 1