Assume you have noted the following prices for books and the number of pages that each book contains. Book Pages (x) 500 Price (v) $7.00 A 700 7.50 C 750 9.00 D 590 6.50 7.50 E 540 7.00 4.50 F 650 G 480 You decide to run a regression model to examine the relationship between the number of pages and prices for books and attach the results below. SUMMARY OUTPUT Regression Statistics 0.750 Multiple R R Square Adjusted RS 0.563 0.475 Standard Em 0.981 Observations 7.000 ANOVA SS Significance F 0.052 6.439 F df 1.000 MS Regression Residual Total 6.192 6.192 5.000 4.808 0.962 6.000 11.000 Coefficients Standard Ero. 1.042 I Stat 0.438 Lower 95% Upper 95% Lower 95.0% Upper 95.0% 7.152 0.020 P-value 2.377 7.152 5.069 Intercept Pages (x) 8. In the estimated regression equation above, 1.042 is the intercept 1.042 is the slope 2.377 is the intercept d. 0.004 is the slope 0.680 5.069 0.010 0.004 2.538 0.052 0.000 0.020 0.000 a. b. с. 9. The above equation implies that an increase of 1 in the number of pages is associated with an increase of S1.052 in prices b. increase of 1 in the number of pages is associated with an increase of $0.01 in prices increase of 1 in the number of pages is associated with an increase of $1.042 in prices d. a. с. increase of 1 in the number of pages is associated with an increase of S0.75 in prices