Neter. Kutner, Nachtsheim, and Wasserman (1996) relate the speed, y, with which a particular insurance innovation is
Question:
TABLE 14.10
The Insurance Innovation Data
a. Discuss why the data plot in the page margin indicates that the model
y = β0 + β1x + β2Ds + ε
might appropriately describe the observed data. Here Ds equals l if the firm is a stock company and 0 if the firm is a mutual company.
b. The model of part (a) implies that the mean adoption time of an insurance innovation by mutual companies having an asset size x equals
β0 = β1x + β2(0) = β0 + β1x
and that the mean adoption time by stock companies having an asset size X equals
β0 + βlx + β2(1) = β0 + βlx + β2
The difference between these two means equals the model parameter β2. In your own words, interpret the practical meaning of β2.
c. Figure 14.18 presents the Excel output of a regression analysis of the insurance innovation data using the model of part a. Using the output, test H0: β2 = 0 versus Ha: β2 ‰ 0 by setting α = .05 and .01. Interpret the practical meaning of the result of this test. Also, use the computer output to lind, report, and interpret a 95 percent confidence interval for β2.
d. If we add the interaction term xDs to the model of part a, we find that the p-value related to this term is .9821. What does this imply?
Step by Step Answer:
Business Statistics In Practice
ISBN: 9780073401836
6th Edition
Authors: Bruce Bowerman, Richard O'Connell