[Step-by-Step] A measure of recall of a Web ad (the response y) is related to x_1, the size of the ad (in square inches) and x_2, an indicator variable


Question: A measure of recall of a Web ad (the response \(y\) ) is related to \(x_{1}\), the size of the ad (in square inches) and \(x_{2}\), an indicator variable that denotes the location of the ad. That is, \(x_{2}\) \(=1\) for Top, 0 for Bottom. Consider the Minitab output in Exhibit 1 for the model \(y=\beta_{0}+\) \(\beta_{1} x_{1}+\beta_{2} x_{2}+\beta_{3} x_{1} x_{2}+\varepsilon\)

  1. Calculate is the estimated response when the ad is on the bottom of the page and the size is 10 square inches.
  2. Use the information in Exhibit 1 and the subset models in Exhibit 2 . State null hypothesis and calculate the appropriate statistic to test that the location of the ad has no effect on the response (need to compare statistic to a distribution).

Price: $2.99
Solution: The downloadable solution consists of 1 pages
Deliverable: Word Document

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