The b0 value in the prediction equation represents predicted value of Y when X =
ID: 3317779 • Letter: T
Question
The b0 value in the prediction equation represents
predicted value of Y when X = 0.
the estimated average change in Y per unit change in X.
the predicted value of Y.
variation around the line of regression.
All but one of the following situations are impossible. Which is the only possible one?
a correlation coefficient = –1.27
correlation coefficient = 1.27
R-Square = 1.27
estimated slope = 1.27 while the correlation coefficient = –.27 for the same data.
the predicted value of y decreases as x increases.
A.predicted value of Y when X = 0.
B.the estimated average change in Y per unit change in X.
C.the predicted value of Y.
variation around the line of regression.
All but one of the following situations are impossible. Which is the only possible one?
a correlation coefficient = –1.27
correlation coefficient = 1.27
R-Square = 1.27
estimated slope = 1.27 while the correlation coefficient = –.27 for the same data.
the predicted value of y decreases as x increases.
Explanation / Answer
a)
A option
he intercept (often labeled the constant) is the expected mean value of Y when all X=0. Start with a regressionequation with one predictor, X. If X sometimes = 0, the intercept is simply the expected mean value of Y at that value.
predicted value of Y when X = 0.
2) Possible is:
the predicted value of y decreases as x increases.
predicted value of Y when X = 0.
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