TABLE 14-17
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 (Attitude 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:
Log-Likelihood = -4.890
Test that all slopes are zero: G = 31.808, DF = 5, P-Value = 0.000
Goodness-of-Fit Tests
-Referring to Table 14-17, what should be the decision ('reject' or 'do not reject') on the null hypothesis when testing whether Income makes a significant contribution to the model in the presence of the other independent variables at a 0.05 level of significance?
Correct Answer:
Verified
Q121: TABLE 14-10
You worked as an intern at
Q160: TABLE 14-8
A financial
Q161: TABLE 14-11
A logistic regression model
Q162: TABLE 14-8
A financial
Q163: TABLE 14-17
The marketing manager for a
Q165: TABLE 14-8
A financial analyst wanted
Q166: TABLE 14-17
The marketing manager
Q167: TABLE 14-17
The marketing manager
Q168: TABLE 14-8
A financial analyst
Q169: TABLE 14-14
An econometrician is interested in evaluating
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