Respuesta :
Answer:
A. The slope describes the amount of change in Y for a one-unit increase in X
B. The regression equation is the line that best fits a set of data as determined by having the least squared error.
Explanation:
Options:
A) The slope describes the amount of change in Y for a one-unit increase in X
B. The regression equation is the line that best fits a set of data as determined by having the least squared error
C. The slope, b, of the regression equation has the same value as r, the estimated correlation
______________________________________________________
The options that are true about regression with one predictor variable include:
- A. The slope describes the amount of change in Y for a one-unit increase in X
- B. The regression equation is the line that best fits a set of data as determined by having the least squared error.
Regression simply refers to a statistical measurement which attempts to determine the strength that exists between a dependent variable and the independent variables.
It should be noted that in one predictor variable, the slope describes the amount of change in Y for a one-unit increase in X and the regression equation is the line that best fits a set of data as determined by having the least squared error.
Therefore, the correct answers are A and B.
______________________________________________
(Hope this helps can I pls have brainlist (crown)☺️)