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

question 189

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  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, there is not enough evidence to conclude that the model is not a good-fitting model at a 0.05 level of significance.


Definitions:

Cash

Money in the form of coins or banknotes, especially that issued by a government.

Accruals

Accounting adjustments for revenues that have been earned but not yet recorded, and expenses that have been incurred but not yet recorded.

Explicit Interest

The interest rate stated in a contract or agreement, not including any compounding interest or hidden fees.

Capital

Financial assets or the value of financial assets used for the creation of goods or services or for investing.

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