Answer:
d. slope; intercept
Step-by-step explanation:
A regression equation is represented in the form :
y = mx + c (linear regression)
Where y = predicted variable
m = slope of regression line
x = independent variable
c = intercept (where the regression line crosses the y axis).
For a multiple regression equation where there are more than one independent, then we have multiple slopes
y = c + m1x1 + m2x2 +...mnxn
Hence, the slope. And intercept are the two key part of a regression equation which enables us to make prediction and correlation about the dependent and independent variables.
