Explanations 
Textbooks 
Flashcards 
91影视 AI 
Notes 
Study Plans 
Study Sets 
Find a degree 
Magazine Chapter 12: Q. 4 (page 760)
Beer and BAC How well does the number of beers a person drinks predict his or her blood alcohol content (BAC)? Sixteen volunteers with an initial BAC of drank a randomly assigned number of cans of beer. Thirty minutes later, a police officer measured their BAC. Least-squares regression was performed on the data. A residual plot and a histogram of the residuals are shown below. Check whether the conditions for performing inference about the regression model are met.
Short Answer
Linear, independent, normal, equal variance, and random are the five requirements for regression inference.
As a result, all requirements have been met.
Step by step solution
Given Information
Sixteen volunteers with an initial BAC of drank a randomly assigned number of cans of beer. Thirty minutes later, a police officer measured their BAC. Least-squares regression was performed on the data. A residual plot and a histogram of the residuals are shown below.
Explanation
The five requirements for regression inference are linear, independent, normal, equal variance, and random.
Linear: Satisfied since the residual plot's points are all centered around .
Independent: Because the respondents were distributed at random, the subjects were satisfied.
Normal: The histogram is basically bell-shaped, so I'm satisfied.
Equal variance: Satisfied since the vertical spread of the residual plot points is almost the same everywhere.
Random: Because the subjects were allocated at random, I'm satisfied.
Over 30 million students worldwide already upgrade their learning with 91影视!
