SCENARIO 17-5
You Worked as an Intern at We Always

question 237

Short Answer

SCENARIO 17-5
You worked as an intern at We Always Win Car Insurance Company last summer. You notice that
individual car insurance premiums depend very much on the age of the individual, the number of
traffic tickets received by the individual, and the population density of the city in which the individual
lives. You performed a regression analysis in EXCEL and obtained the following information: $\begin{array}{l}\begin{array}{lr}\hline {\text { Regression Statistics }} \\\hline \text { Multiple R } & 0.63 \\\text { R Square } & 0.40 \\\text { Adjusted R Square } & 0.23 \\\text { Standard Error } & 50.00 \\\text { Observations } & 15.00 \\\hline\end{array}\\\\\text { ANOVA }\\\begin{array}{lrcccr}\hline & d f &{\text { SS }} & \text { MS } & \text { F }&{\text { Significance } F} \\\hline \text { Regression } & 3 & & 5994.24 & 2.40 & 0.12 \\\text { Residual } & 11 & 27496.82 & & & \\\text { Total } & & 45479.54 & & & \\\hline\end{array}\\\\\begin{array}{lrrrrrr}\hline & \text { Coefficients } & \begin{array}{c}\text { Standard } \\\text { Error }\end{array} & \text { t Stat } & \text { P-value } & \text { Lower 99.0\% } & \text { Upper 99.0\% } \\\hline \text { Intercept } & 123.80 & 48.71 & 2.54 & 0.03 & -27.47 & 275.07 \\\text { AGE } & -0.82 & 0.87 & -0.95 & 0.36 & -3.51 & 1.87 \\\text { TICKETS } & 21.25 & 10.66 & 1.99 & 0.07 & -11.86 & 54.37 \\\text { DENSITY } & -3.14 & 6.46 & -0.49 & 0.64 & -23.19 & 16.91 \\\hline\end{array}\end{array}$
AGE -0.82 0.87 -0.95 0.36 -3.51 1.87
TICKETS 21.25 10.66 1.99 0.07 -11.86 54.37
DENSITY -3.14 6.46 -0.49 0.64 -23.19 16.91
-Referring to Scenario 17-5, to test the significance of the multiple regression model, what is the form of the null hypothesis? a) $H _ { 0 } : \beta _ { 0 }$
b) $H _ { 0 } : \beta _ { 1 }$
c) $H _ { 0 } : \beta _ { 1 } = \beta _ { 2 } = \beta _ { 3 }$
d) $H _ { 0 } : \beta _ { 0 } = \beta _ { 1 } = \beta _ { 2 } = \beta _ { 3 }$

Document signs of abuse accurately and objectively in patient records.

Identify bruises and injuries indicative of abuse vs. normal activity in children and adults.

Understand the significance of bruise coloration in estimating the age of injuries.

Include specific documentation practices for IPV and older adult abuse cases.

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Definitions:

Labor

The effort by humans to produce goods or services in the economy.

Resource Demand Curve

A graphical representation showing the relationship between the price of a resource and the quantity of that resource demanded by firms.

Shift Factors

Variables or conditions that can cause a shift in demand or supply curves, thus changing market equilibrium.

Marginal Revenue Product

The additional revenue generated from employing one more unit of a factor, such as labor or capital, in the production process.