Weight and Height Narrative
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 cm) and y be the person's weight (measured in kg). A random sample of 11 people was selected and the following data recorded: The following output was generated using statistical software: Regression Analysis
The regression equation is
y = -148 + 4.18x S = 1.7698; R-Sq = 96.7%; R-Sq(adj) = 96.3%
Analysis of Variance Table Unusual Observations denotes an observation with a large standardized residual.
-Refer to Weight and Height Narrative. Use the printout to find the least-squares prediction line.

Question

Weight and Height Narrative
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 cm) and y be the person's weight (measured in kg). A random sample of 11 people was selected and the following data recorded:  The following output was generated using statistical software:  Regression Analysis
The regression equation is
y = -148 + 4.18x  S = 1.7698; R-Sq = 96.7%; R-Sq(adj) = 96.3%
Analysis of Variance Table  Unusual Observations  denotes an observation with a large standardized residual.
-Refer to Weight and Height Narrative. Use the printout to find the least-squares prediction line.

Quizplus · Accepted Answer

The Answer of Weight and Height Narrative
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 cm) and y be the person's weight (measured in kg). A random sample of 11 people was selected and the following data recorded:  The following output was generated using statistical software:  Regression Analysis
The regression equation is
y = -148 + 4.18x  S = 1.7698; R-Sq = 96.7%; R-Sq(adj) = 96.3%
Analysis of Variance Table  Unusual Observations  denotes an observation with a large standardized residual.
-Refer to Weight and Height Narrative. Use the printout to find the least-squares prediction line.