Essay
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.
________________________________________________________
Correct Answer:

Verified
Yes; The data appears to be reasonably l...View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Correct Answer:
Verified
View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Q108: Given the least squares regression line <img
Q109: In simple linear regression, one can use
Q110: An indication of no linear relationship between
Q111: The sign of the correlation coefficient in
Q112: In simple linear regression, the plot of
Q114: A professor of economics wants to study
Q115: In a simple linear regression problem, if
Q116: In publishing the results of some research
Q117: The coefficient of determination <img src="https://d2lvgg3v3hfg70.cloudfront.net/TB8220/.jpg" alt="The
Q118: In a simple linear regression problem including