Question

Suppose that a researcher wants to predict the weight of female college athletes based on their height, percent body fat, and age. A sample is taken and the following regression table is produced. What is the regression equation?

Question 9 options:

1)	(weight) = 3.32*(height) - 1.645*(percent body fat) - 2.189*(age) + 177.447

2)	(weight) = 3.32*(height) - 1.645*(percent body fat) - 2.189*(age)

3)	We do not have enough information to determine the regression equation.

4)	(height) = 3.32*(percent body fat) - 1.645*(weight) - 2.189*(age) + 177.447

5)	(weight) = 0.928*(height) - -2.122*(percent body fat) - -2.918*(age) + 177.447

Answer 1

Regression Equation :-

A regression equation is a statistical model that determined the specific relationship between the predictor variable (independent variable) and the outcome variable (dependent variable). The equation also contains numerical relationships between the predictor and the outcome.

The equation has the form Y= a + bX, where Y is the dependent variable (that's the variable that goes on the Y axis), X is the independent variable (i.e. it is plotted on the X axis), b is the slope of the line and a is the y-intercept.

Ans.

(3). We do not have enough information to determine the regression equation.