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Instruction 13-8
You Worked as an Intern at We Always

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True/False

Instruction 13-8
You worked as an intern at We Always Win Car Insurance Company last summer.You notice that individual car insurance premium depends 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 Microsoft Excel and obtained the following information:
 Regression Analysis  Regression Statistics  Multiple R 0.63 R Square 0.40 Adjusted R Square 0.23 Standard Error 50.00 Observations 15.00\begin{array}{l}\text { Regression Analysis }\\\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\end{array}\end{array}
ANOVA
dfSSMSF Significance F Regression 35994.242.400.12 Residual 1127496.82 Total 45479.54\begin{array}{lrrrrrr} & d f & & S S & M S & F & \text { Significance } F \\\hline \text { Regression } & 3 & & 5994.24 & 2.40 & 0.12 \\\text { Residual } & 11 & 27496.82 & & & \\\text { Total } & & 45479.54 & & &\end{array}

 Coefficients  Standard t Stat  P-value  Lower 99.0%  Upper 99.0%  Intercept  Error  AGE 123.8048.712.540.0327.47275.07 TICKETS 0.820.870.950.363.511.87 DENSITY 21.2510.661.990.0711.8654.373.146.460.490.6423.1916.91\begin{array}{lrrrrrrr} & \text { Coefficients } & \text { Standard } & t \text { Stat } & \text { P-value } & \text { Lower 99.0\% } & \text { Upper 99.0\% } \\\hline \text { Intercept } & {\text { Error }} & & & & & \\\text { AGE } & 123.80 & 48.71 & 2.54 & 0.03 & -27.47 & 275.07 \\\text { TICKETS } & -0.82 & 0.87 & -0.95 & 0.36 & -3.51 & 1.87 \\\text { DENSITY } & 21.25 & 10.66 & 1.99 & 0.07 & -11.86 & 54.37 \\& -3.14 & 6.46 & -0.49 & 0.64 & -23.19 & 16.91\end{array}
-Referring to Instruction 13-8,to test the significance of the multiple regression model,the null hypothesis should be rejected while allowing for 1% probability of committing a Type I error.


Definitions:

Average-cost Method

The average-cost method is an inventory costing method that assigns an average cost to each item in inventory, used to determine the cost of goods sold and ending inventory values.

Weighted-average Cost Method

This inventory costing method assigns a weighted average cost to each unit in inventory, used to calculate cost of goods sold and ending inventory.

Lower-of-cost-or-market

An accounting principle that states assets should be recorded at the lower value of either its cost or its market value.

Specific Identification

An accounting method used to track and assign costs to individual inventory items.

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