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TABLE 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 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 = α + 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
The following Excel results are obtained.
-Referring to Table 14-12, predict the meter rate per hour if one parks outside of downtown and off campus 3 blocks from the quad.
Q26: Referring to Table 14-19, what should be
Q29: Referring to Table 14-17 Model 1, there
Q44: After estimating a trend model for annual
Q48: Referring to Table 13-11, what is the
Q76: Referring to Table 14-17 Model 1, which
Q120: Referring to Table 12-8, at 5% level
Q131: Referring to Table 13-12, the 90% confidence
Q137: Referring to Table 16-13, you can conclude
Q169: Referring to Table 14-13, the fitted model
Q269: Referring to 14-16, what is the correct