Answer:
Option C) [tex]b_1[/tex] is the slope
Step-by-step explanation:
We are given the following in the question:
The estimated regression equation is:
[tex]\hat{Y} = b_0 + b_1x[/tex]
where [tex]\hat{Y}[/tex] is the dependent variable and need to be predicted and x is the independent variable and is the predictor.
If we compare this regression equation to slope intercept form of straight line,
[tex]y = mx + c[/tex]
Here, m is the slope if the line and c is the y-intercept hat is the value of y when x is zero.
Comparing the regression equation to the slope intercept form, we get,
Slope, m =
[tex]b_1[/tex]
Intercept, c =
[tex]b_0[/tex]
Thus, the correct answer is:
Option C) [tex]b_1[/tex] is the slope
