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TABLE 14-10
You Worked as an Intern at We

question 69

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TABLE 14-10
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 Analysis
Regression Statistics  Multiple R0.63R Square 0.40Adjusted R Square0.23Standard Error 50.00Observations15.00\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}

ANOVA
 d fSSMSSignificance F Regression35994.242.400.12Residual 1127496.82Total 45479.54\begin{array}{lccccc}\hline & \text { 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}

oefficients Standard Error  t Stat p-value Lower 99.0% Upper 99.0 %  Intercept123.8048.712.540.0327.47275.07AGE 0.820.870.950.363.511.87TICKETS21.2510.661.990.0711.8654.37DENSITY3.146.460.490.6423.1916.91\begin{array}{lccrrrr}\hline & \text {oefficients}&\text { Standard Error }& \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}

-Referring to Table 14-10, the estimated average change in insurance premiums for every 10 additional tickets received is ______ .


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