5.2 42 The following regression shows the impact of the number of rooms (ROOM) on the monthly rent of an apartment (in thousand Rands) (RENT) from a sample of 42 randomly chosen apartments in Parow: Dependent Variable: RENT Variable C ROOM r-square: 0.7180 Parameter -0.7705 2.1331 SE of regression: 2.3397 Std. Error 0.8233 0.2114 sample size = 42 What will be values of the parameters, variance and standard errors of the parameters, estimated variance of error terms, coefficient of determination and correlation coefficient, if RENT is measured in Rands and there is no change to the unit of measurement of the ROOM variable?

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5.2
42
The following regression shows the impact of the number of rooms (ROOM) on the
monthly rent of an apartment (in thousand Rands) (RENT) from a sample of 42 randomly
chosen apartments in Parow:
Dependent Variable: RENT
Variable
C
ROOM
r-square: 0.7180
Parameter
-0.7705
2.1331
SE of regression: 2.3397
Std. Error
0.8233
0.2114
sample size = 42
What will be values of the parameters, variance and standard errors of the
parameters, estimated variance of error terms, coefficient of determination and
correlation coefficient, if RENT is measured in Rands and there is no change to
the unit of measurement of the ROOM variable?
Transcribed Image Text:5.2 42 The following regression shows the impact of the number of rooms (ROOM) on the monthly rent of an apartment (in thousand Rands) (RENT) from a sample of 42 randomly chosen apartments in Parow: Dependent Variable: RENT Variable C ROOM r-square: 0.7180 Parameter -0.7705 2.1331 SE of regression: 2.3397 Std. Error 0.8233 0.2114 sample size = 42 What will be values of the parameters, variance and standard errors of the parameters, estimated variance of error terms, coefficient of determination and correlation coefficient, if RENT is measured in Rands and there is no change to the unit of measurement of the ROOM variable?
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