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SCENARIO 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; 11 did not have
a lawn service (code 0) and 19 had a lawn service (code 1). Additional information available
concerning these 30 home owners includes family income (Income, in thousands of dollars) and lawn
size (Lawn Size, in thousands of square feet).
The PHStat output is given below:
Binary Logistic Regression
-Referring to Scenario 14-19, there is not enough evidence to conclude that
Income makes a significant contribution to the model in the presence of LawnSize at a 0.05 level
of significance.
Q44: In multiple regression, the _ procedure permits
Q45: Referring to Scenario 15-7-B, the value of
Q49: Referring to Scenario 14-6, _% of the
Q50: Referring to Scenario 13-3, suppose the director
Q81: Referring to Scenario 13-14-B, construct a scatter
Q121: Referring to Scenario 15-6, the model
Q139: Referring to Scenario 14-17, which of the
Q151: In testing a hypothesis using the
Q213: When an explanatory variable is dropped from
Q277: Referring to Scenario 14-20-B, there is sufficient