While doing the laundry you accidentally put bleach in the w…

While doing the laundry you accidentally put bleach in the washing machine when you are washing your jeans.  After you take them out they appear to be a different shade of blue than they were before you washed them; they are faded now and the color doesn’t appear to be as sharp.  The main component of color that has changed when you look at your jeans is:

Assume you have noted the following prices for books and the…

Assume you have noted the following prices for books and the number of pages that each book contains. Book Pages Price A 500 $7.00 B 700 7.50 C 750 9.00 D 590 6.50 E 560 7.50 F 650 7.00 G 475 5.00   Regression Statistics Multiple R 0.79194025 R Square 0.62716936 Adjusted R Square 0.55260323 Standard Error 0.80609586 Observations 7 ANOVA   df SS MS F Significance F Regression 1 5.465333 5.465333 8.41091496 0.033784497 Residual 5 3.24895271 0.64979054 Total 6 8.71428571         Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1.41532767 1.97392859 0.71701057 0.50545648 -3.658817306 6.48947265 -3.6588173 6.48947265 Pages 0.00937105 0.00323122 2.90015775 0.0337845 0.001064933 0.01767718 0.00106493 0.01767718 Is this regression equation statistically significant? How do you know? Be specific and use numbers from the output above.  

Regression analysis was applied between demand for a product…

Regression analysis was applied between demand for a product (y) and the price of the product (x), and the following estimated regression equation was obtained. Based on the above estimated regression equation, if price is increased by 3 units, then demand is expected to

Using the standard error found in question #26, calculate th…

Using the standard error found in question #26, calculate the confidence interval with x* (x-star) = 58 and alpha = .05. SUMMARY OUTPUT Regression Statistics Multiple R 0.93686171 R Square 0.87770986 Adjusted R Square 0.86242359 Standard Error 7.52312475 Observations 10 ANOVA   df SS MS Regression 1 3249.72075 3249.72075 Residual 8 452.779248 56.597406 Total 9 3702.5     Coefficients Standard Error t Stat Intercept 5.847009 7.9717307 0.73346795 Hours 0.82953944 0.10947433 7.57747929