As a Project for His Business Statistics Class, a Student

question 8

Multiple Choice

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 one of the three jurisdictions: on campus, in downtown and off campus, or outside of downtown and off campus. The population regression model hypothesized is Yᵢ = β₀ + β₁X₁ᵢ + β₂X₂ᵢ + β₃X₃ᵢ + ε where
Y is the meter price
X₁ is the number of blocks to the quad
X₂ is a dummy variable that takes the value 1 if the meter is located in downtown and off campus and the value 0 otherwise
X₃ is a dummy variable that takes the value 1 if the meter is located outside of downtown and off campus, and the value 0 otherwise
Suppose that whether the meter is located on campus is an important explanatory factor. Why should the variable that depicts this attribute not be included in the model?

• A) Its inclusion will introduce autocorrelation.
• B) Its inclusion will introduce collinearity.
• C) Its inclusion will inflate the standard errors of the estimated coefficients.
• D) Both B and C.

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Definitions:

Food Products

Food products encompass items that are processed, prepared, and packaged to be consumed as meals or snacks.

Price Elasticity Coefficient

A measure of how much the quantity demanded of a good responds to a change in the price of that good, indicating sensitivity to price changes.

Farm Products

Goods that are produced by farming activities, such as crops, livestock, and other agricultural commodities.

Agricultural Products

Goods derived from farming and agriculture, including crops, livestock, and other raw materials.