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

question 1

Short Answer

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, 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 LawnSize at a 0.05 level of significance?

---

Definitions:

Dollar Value

The worth of something expressed in terms of the amount of money it can be exchanged for.

Kirkpatrick's Model

A method for assessing the effectiveness of training programs through four distinct levels: Reaction, Learning, Behavior, and Results, emphasizing the importance of evaluating multiple aspects of training.

Return On Investment

A financial metric used to evaluate the efficiency or profitability of an investment, calculated by dividing the benefit (return) by the cost of the investment.

Training Evaluation

The process of assessing the effectiveness of a training program, often using criteria such as learner satisfaction, learning achieved, and behavior change.