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

question 171

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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  Predictor  Coefficients  SE Coef Zp-Value  Intercept 7.85623.82242.05530.0398 Income 0.03040.01332.28970.0220 Lawn Size 1.28040.69711.83680.0662 Deviance 25.3089\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, what is the p-value of the test statistic when testing whetherLawnSize makes a significant contribution to the model in the presence of Income?

Understand the principles and applications of multiple linear regression analysis.
Identify and interpret statistical measures such as correlation coefficients, P-values, and residuals.
Recognize the importance of checking assumptions in regression analysis, such as normality of residuals and multicollinearity among variables.
Differentiate between explanatory and response variables within regression models.

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