Question

The regression line can never be used for prediction. True False

The slope is the amount Y changes for every increase in X. True False

"When you calculate a regression equation, you want the line with the most error. " True False

"Correlation measures the linear relationship between two variables, while a regression analysis precisely defines this line. " True False

The predicted value based on a regression equation is a perfect prediction. True False

What represents the intercept (the value of Y when X=0)?

a.b

b.a

c.Y

d.X

The least squares solution is used to calculate the amount of error based on the distance between data points and your regression line. True False

Answer 1

The regression line can never be used for prediction. False

The slope is the amount Y changes for every increase in X. True

When you calculate a regression equation, you want the line with the most error. False

Correlation measures the linear relationship between two variables, while a regression analysis precisely defines this line. True

The predicted value based on a regression equation is a perfect prediction.  True

What represents the intercept. Answer Opion ( b ), a

The least squares solution is used to calculate the amount of error based on the distance between data points and your regression line. True