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Changing the Units of Measurement Obviously Will Have an Effect Y=aY and X=bXY ^ { * } = a Y \text { and } X ^ { * } = b X \text {. }

question 51

Essay

Changing the units of measurement obviously will have an effect on the slope of your regression function. For example, let Y=aY and X=bXY ^ { * } = a Y \text { and } X ^ { * } = b X \text {. }
Then it is easy
but tedious to show that β^1=i=1nxiyii=1nxi2=abβ^1\widehat { \beta } _ { 1 } ^ { * } = \frac { \sum _ { i = 1 } ^ { n } x _ { i } ^ { * } y _ { i } ^ { * } } { \sum _ { i = 1 } ^ { n } x _ { i } ^ { * 2 } } = \frac { a } { b } \widehat { \beta } _ { 1 } Given this result, how do you think
the standard errors and the regression R2R ^ { 2 } will change?


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