Information supplied by a mail-order business for 12 cities is shown in Table P-7.

a. Determine the fitted regression line.
b. Calculate the standard error of the estimate.
c. Determine the ANOVA table.
d. What percentage of the variation in mail orders is explained by the number of catalogs distributed?
e. Test to determine whether the regression slope coefficient is significantly different from zero. (Use the .01 significance level.)
f. Test for the significance of the regression using the F statistic from the ANOVA table. (Use the .01 significance level.) Is the result consistent with the result in part e? Should it be?
g. Forecast the number of mail orders received when 10,000 catalogs are distributed with a 90% prediction interval.

TABLE P-7 Number of Mail Orders Received (1,000s) Number of Catalogs Distributed (1,000s) Number of Mail Orders Received (1,000s) Number of Caralogs Distributed (1,000s) City City 15 24 16 18 18 35 13 IS 32 10 15 32 12