In general, a larger R-squared tends to suggest that

a. the estimated sample regression function explains a greater percentage of the total variation in y.

b. the estimated sample regression function is more accurate.

c. the estimated sample regression function explains a greater percentage of the explained variation in y.

d. the estimated slope coefficient is more likely to equal the population slope coefficient.

Question

Business

Carl Moss

9 September, 23:01

In general, a larger R-squared tends to suggest that

a. the estimated sample regression function explains a greater percentage of the total variation in y.

b. the estimated sample regression function is more accurate.

c. the estimated sample regression function explains a greater percentage of the explained variation in y.

d. the estimated slope coefficient is more likely to equal the population slope coefficient.

+3

Answers (2)

Know the Answer?

Fresier · Answer 1

d. the estimated slope coefficient is more likely to equal the population slope coefficient.

Explanation:

R squared is a statistical measure that measures the closliness of data from regression line. in general a large r squared tends to suggest that the estimated slope coefficient is more likely to equal the population slope coefficient.

Kendall Burgess · Answer 2

the answer for what A larger R-squared suggests is option A) the estimated sample regression function explains a greater percentage of the explained variation in y.

Explanation:

R-squared is the coefficient of determination. It is the statistical standard that shows how close the data are to the regression line.

It analyses the relationship between two variables and the scores could suggest a low R-squared value or a larger R-squared value.

70 percent is the bar line. below 70% is slow and above 70% is high.

Therefore a larger R-squared suggests that the estimated sample regression function explains a greater percentage of the total variation in Y.