Tag | Value |
---|---|
file | Inferential_Statistics_vufsw-simplelinearregression-0274-en_vufsw-simplelinearregression-0274-en |
name | vufsw-simplelinearregression-0274-en |
section | inferential statistics/regression/simple linear regression |
type | schoice |
solution | FALSE, FALSE, TRUE, FALSE |
Type | conceptual |
Program | NA |
Language | English |
Level | statistical literacy |
Which theorem(s) is/are correct about the regression equation Y = b0 + b1X?
I. Y actually represents the predicted value by the regression.
II. b0 is the mean value of Y when X equals 0
Theorem I is correct because the regression equation predicts values of Y predicted by means of the regression line a + b1X.
Theorem II is also correct because if you replace X with 0 then the equation Y=b0. This means that the pre-measured value of Y (or alternatively, the average Y) is equal to the constant.