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Instruction 13.39
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, number of city blocks to the centre of the university, and one of the three jurisdictions: on campus, in the CBD and off campus, or outside of the CBD and off campus. The population regression model hypothesised is:
Yi = α + β1x1i + β2x2i + β3x2i + εi
Where
Y is the meter price
x1 is the number of blocks to the centre of the university
x2 is a dummy variable that takes the value 1 if the meter is located in the CBD 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 the CBD and off campus, and the value 0 otherwise
The following Excel results are obtained.
-Referring to Instruction 13.39,if one is already outside of the CBD and off campus but decides to park three more blocks from the centre of the university,the estimated mean parking meter rate will
Q45: Referring to Instruction 16-6,the variable X<sub>1</sub> should
Q65: Referring to Instruction 13.13,the critical value of
Q91: Referring to Instruction 16-2,suppose the chemist decides
Q118: A simple regression has a b<sub>0</sub> value
Q126: The strength of the linear relationship between
Q126: Referring to Instruction 15-8,the value of the
Q170: Referring to Instruction 13.35,what is the p-value
Q195: Referring to Instruction 13.19,if variables that measure
Q195: Referring to Instruction 12.28,the managers of the
Q196: Referring to Instruction 13.35,the null hypothesis should