Evidence supports using a simple linear regression model to estimate a person's weight based on a person's height. Let x be a person's height (measured in inches) and y be the person's weight (measured in pounds). A random sample of eleven people was selected and the following data recorded: The following output was generated for the data: Based on the scatterplot above, does a simple linear regression model seem appropriate?
______________
Justify your answer.
________________________________________________________
Use the printout to find the least-squares prediction line. = ______________
Based on the printout, do there appear to be any outliers in the data?
______________
Justify your answer.
________________________________________________________
Consider the following residual plot of the residuals versus the fitted values. What conclusion, if any, can be drawn from the plot?
________________________________________________________
Consider the following normal probability plot of the residuals. What conclusion can be drawn from the plot?
________________________________________________________
Based on the previous two plots, should you use the model in the computer printout to predict weight?
______________
Justify your answer.
________________________________________________________

Question

Evidence supports using a simple linear regression model to estimate a person's weight based on a person's height. Let x be a person's height (measured in inches) and y be the person's weight (measured in pounds). A random sample of eleven people was selected and the following data recorded:  The following output was generated for the data:  Based on the scatterplot above, does a simple linear regression model seem appropriate?
______________
Justify your answer.
________________________________________________________
Use the printout to find the least-squares prediction line.  = ______________
Based on the printout, do there appear to be any outliers in the data?
______________
Justify your answer.
________________________________________________________
Consider the following residual plot of the residuals versus the fitted values.  What conclusion, if any, can be drawn from the plot?
________________________________________________________
Consider the following normal probability plot of the residuals.  What conclusion can be drawn from the plot?
________________________________________________________
Based on the previous two plots, should you use the model in the computer printout to predict weight?
______________
Justify your answer.
________________________________________________________

Quizplus · Accepted Answer

The Answer of Evidence supports using a simple linear regression model to estimate a person's weight based on a person's height. Let x be a person's height (measured in inches) and y be the person's weight (measured in pounds). A random sample of eleven people was selected and the following data recorded:  The following output was generated for the data:  Based on the scatterplot above, does a simple linear regression model seem appropriate?
______________
Justify your answer.
________________________________________________________
Use the printout to find the least-squares prediction line.  = ______________
Based on the printout, do there appear to be any outliers in the data?
______________
Justify your answer.
________________________________________________________
Consider the following residual plot of the residuals versus the fitted values.  What conclusion, if any, can be drawn from the plot?
________________________________________________________
Consider the following normal probability plot of the residuals.  What conclusion can be drawn from the plot?
________________________________________________________
Based on the previous two plots, should you use the model in the computer printout to predict weight?
______________
Justify your answer.
________________________________________________________

Evidence Supports Using a Simple Linear Regression Model to Estimate