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

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

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

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