Let x be the weight (in tons) of a load of lumber and y be the time (in hours) it takes to load it on a truck. A simple linear regression model relates x and y where the least squares estimates of the regression parameters are b = 6.5 and a = 3.3.
What is the least-squares best-fitting regression line? = ______________
What is the average change in time per one ton increase in weight?
______________ (hours)
What is the estimated time it takes to load 9 tons of lumber?
______________ (hours)
Interpret the y -intercept of the regression line.
________________________________________________________

Question

Let x be the weight (in tons) of a load of lumber and y be the time (in hours) it takes to load it on a truck. A simple linear regression model relates x and y where the least squares estimates of the regression parameters are b = 6.5 and a = 3.3.
What is the least-squares best-fitting regression line?  = ______________
What is the average change in time per one ton increase in weight?
______________ (hours)
What is the estimated time it takes to load 9 tons of lumber?
______________ (hours)
Interpret the y -intercept of the regression line.
________________________________________________________

Quizplus · Accepted Answer

The Answer of Let x be the weight (in tons) of a load of lumber and y be the time (in hours) it takes to load it on a truck. A simple linear regression model relates x and y where the least squares estimates of the regression parameters are b = 6.5 and a = 3.3.
What is the least-squares best-fitting regression line?  = ______________
What is the average change in time per one ton increase in weight?
______________ (hours)
What is the estimated time it takes to load 9 tons of lumber?
______________ (hours)
Interpret the y -intercept of the regression line.
________________________________________________________

Let X Be the Weight (In Tons) of a Load