Anyone, please help me!!!
2 answers:
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Answer:
Option B) Y - estimated average predicted value, X – predictor, Y-intercept (), slope (
)
Step-by-step explanation:
In the simple linear regression model estimate is given by:
Comparing this regression line with the slope intercept form, we get:
where m is the slope of the straight line and c is the y-intercept that is the value of y when x is zero.
here,
Y is the predicted variable or the variable we need to predict
X is the predictor or the variable that helps us to predict Y
is the slope of the regression line.
is the y-intercept or the value of y when x is zero.
Thus, Option B)
Y - estimated average predicted value, X – predictor, Y-intercept (), slope (
)