A publisher is studying the effectiveness of advertising to sell a woman's magazine. She wishes to investigate the relationship between the number of magazines sold (10,000's), the "reach" (proportion of the population who see at least one advertisement for the magazine), and the average income of the target market ($1,000's). The publisher suspects people at certain income levels might be more susceptible to this advertising campaign than others. Preliminary studies show there is no evidence of a quadratic relationship between sales and either of the other two variables. Use the output below to answer the questions.

Is there an interaction effect? Test at the 5% significance level.
One may conclude that there ______________ interaction between the "reach" (proportion of the population who see at least one advertisement for the magazine), and the average income of the target market.
Develop 95% confidence intervals for the intercept and the partial regression coefficients.
The confidence interval for

is:
CI = ______________ Enter (n1, n2)
The confidence interval for

is:
C I= ______________ Enter (n1, n2)
The confidence interval for

is:
CI = ______________ Enter (n1, n2)
The confidence interval for

is:
CI = ______________ Enter (n1, n2)
Explain how to use the 95% confidence interval you constructed for

to test the hypotheses made earlier.
We ______________ the null hypothesis at the 5% significance level.

Use the Following Partial Output and Residual Plot Generated Using

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