SCENARIO 13-19
the Marketing Manager for a Nationally Franchised Lawn

question 282

True/False

SCENARIO 13-19
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 $$\begin{array}{l}\begin{array} { l r r r r } \hline { \text { Predictor } } & \text { Coefficients } & \text { SE Coef } & { Z } & p \text {-Value } \\\hline \text { Intercept } & - 7.8562 & 3.8224 & - 2.0553 & 0.0398 \\\text { Income } & 0.0304 & 0.0133 & 2.2897 & 0.0220 \\\text { Lawn Size } & 1.2804 & 0.6971 & 1.8368 & 0.0662\\\text { Deviance } & 25.3089\end{array}\\\end{array}$$
-Referring to SCENARIO 13-19, there is not enough evidence to conclude that LawnSize makes a significant contribution to the model in the presence of Income at a 0.05 level of significance.

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Definitions:

Variable

A characteristic, number, or quantity that can be measured or quantified and can vary among individuals or over time.

Least Squares Line

A straight line that minimizes the sum of the squared differences between the observed values and the values predicted by the line.

Sales

The transactions involving the exchange of goods or services for money or value, typically measured over a particular period of time.

Advertising

The process or occupation involved in creating promotional content for goods or services.