Solved

SCENARIO 14-12 as a Project for His Business Statistics Class Yi=α+β1X1i+β2X2i+εY _ { i } = \alpha + \beta _ { 1 } X _ { 1 i } + \beta _ { 2 } X _ { 2 i } + \varepsilon

Question 12

Multiple Choice

SCENARIO 14-12 As a project for his business statistics class, a student examined the factors that determined parking meter rates throughout the campus area. Data were collected for the price (\$) per hour of parking, blocks to the quadrangle, and whether the parking is on or off campus. The population regression model hypothesized is Yi=α+β1X1i+β2X2i+εY _ { i } = \alpha + \beta _ { 1 } X _ { 1 i } + \beta _ { 2 } X _ { 2 i } + \varepsilon
where
YY is the meter price per hour
XlX _ { l } is the number of blocks to the quad
X2X _ { 2 } is a dummy variable that takes the value 1 if the meter is located on campus and 0 otherwise

The following Excel results are obtained.

 Regression Statistics  Multiple R 0.5536 R Square 0.3064 Adjusted R Square 0.2812 Standard Error 0.4492 Observations 58\begin{array}{lr}{\text { Regression Statistics }} \\\hline \text { Multiple R } & 0.5536 \\\text { R Square } & 0.3064 \\\text { Adjusted R Square } & 0.2812 \\\text { Standard Error } & 0.4492 \\\text { Observations } & 58\end{array}

ANOVA
df SS  MS  F  Significance F  Regression 24.90352.451812.15010.0000 Residual 5511.09840.2018 Total 5716.0019\begin{array}{lrrrrr} & d f &{\text { SS }} & \text { MS } & {\text { F }} & \text { Significance F } \\\hline \text { Regression } & 2 & 4.9035 & 2.4518 & 12.1501 & 0.0000 \\\text { Residual } & 55 & 11.0984 & 0.2018 & & \\\text { Total } & 57 & 16.0019 & & &\end{array}

 Coefficients  Standard Error  Stat  P-value  Lower 99%  Upper 99%  Intercept 1.65000.20288.13590.00001.10892.1912 Block 0.25040.05294.73550.00000.39150.1093 Campus 0.15520.12971.19660.23660.19080.5011\begin{array}{lrrrrrr} & \text { Coefficients } & \text { Standard Error } & {\text { Stat }} & \text { P-value } & \text { Lower 99\% } & \text { Upper 99\% } \\\hline \text { Intercept } & 1.6500 & 0.2028 & 8.1359 & 0.0000 & 1.1089 & 2.1912 \\\text { Block } & -0.2504 & 0.0529 & -4.7355 & 0.0000 & -0.3915 & -0.1093 \\\text { Campus } & 0.1552 & 0.1297 & 1.1966 & 0.2366 & -0.1908 & 0.5011 \\\hline\end{array}

-Referring to Scenario 14-12, what is the correct interpretation for the estimated coefficient for X2X _ { 2 } ?


A) Holding the effect of the distance from the quad constant, the estimated mean costs for parking on campus is $0.16 per hour more than parking off campus.
B) Holding the effect of the distance from the quad constant, the estimated mean costs for parking off campus is $0.16 per hour more than parking on campus.
C) Holding the effect of the distance from the quad constant, the estimated mean costs for parking on campus is $0.16 per hour more than parking off campus for each additional
Block away from the quad.
D) Holding the effect of the distance from the quad constant, the estimated mean costs for parking off campus is $0.16 per hour more than parking on campus for each additional
Block away from the quad.

Correct Answer:

verifed

Verified

Unlock this answer now
Get Access to more Verified Answers free of charge

Related Questions