TABLE 14-19
The marketing manager for a nationally franchised lawn service company would like to study the characteristics that differentiate home owners who do and do not have a lawn service. A random sample of 30 home owners located in a suburban area near a large city was selected; 15 did not have a lawn service (code 0) and 15 had a lawn service (code 1). Additional information available concerning these 30 home owners includes family income (Income, in thousands of dollars), lawn size (Lawn Size, in thousands of square feet), attitude toward outdoor recreational activities (Atitude 0 = unfavorable, 1 = favorable), number of teenagers in the household (Teenager), and age of the head of the household (Age).
The Minitab output is given below: 
-Referring to Table 14-19, what are the degrees of freedom for the chi-square distribution when testing whether the model is a good-fitting model?
Definitions:
Q24: Referring to Table 13-11, which of the
Q39: One of the consequences of collinearity in
Q46: Using the best-subsets approach to model building,
Q49: Referring to Table 14-2, for these data,
Q58: Variation due to the inherent variability in
Q78: Referring to Table 17-5, a p control
Q86: Referring to Table 14-15, what are the
Q123: Referring to Table 13-13, the value of
Q168: Referring to Table 16-5, the number of
Q211: Referring to Table 14-8, the analyst wants