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

question 344

True/False

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:  Regression Statistics  Multiple R 0.63 R Square 0.40 Adjusted R Square 0.23 Standard Error 50.00 Observations 15.00 ANOVA df SS  MS  F  Significance F Regression 35994.242.400.12 Residual 1127496.82 Total 45479.54 Coefficients  Standard  Error  t Stat  P-value  Lower 99.0%  Upper 99.0%  Intercept 123.8048.712.540.0327.47275.07 AGE 0.820.870.950.363.511.87 TICKETS 21.2510.661.990.0711.8654.37 DENSITY 3.146.460.490.6423.1916.91\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, the multiple regression model is significant at a 10%
level of significance.


Definitions:

Trade Benefit

The advantages a country gains from engaging in international trade, such as access to a wider variety of goods and services, economies of scale, and increased market competition.

Produce Alfalfa

The process of cultivating and harvesting alfalfa, a perennial flowering plant used primarily as fodder for livestock.

Comparative Advantage

The capability of a nation or person to generate a specific product or service with a lesser opportunity cost compared to others.

Trade Benefit

The advantage gained by countries, companies, or individuals from engaging in international trade, including increased economic output, efficiency, and consumer choice.

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