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Residual - Business Statistics - Exam, Exams of Business Statistics

This is the Past Exam of Business Statistics which includes Residual, Diameter, Fitted Regression, Predicts, Volume, Diameter and Height, Largest Residual, Residual Standard Deviation, Model Fit etc. Key important points are: Residual, Diameter, Fitted Regression, Predicts, Volume, Diameter and Height, Largest Residual, Residual Standard Deviation, Model Fit, Expressway Driving

Typology: Exams

2012/2013

Uploaded on 02/26/2013

maazi
maazi 🇮🇳

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22S:008 Exam 2, Part I, Oct. 29, 1998 Form A
Name:_________________________________________________ Please circle one. Section: 10:30 or 11:30
Do not print anything on the Lab printers. Please enter all of your answers from the computer screen onto these
exam pages. Each part is worth two points.
1. Enter the dataset named Trees.mtw from the 22S-008 MTW data folder.
a) What is the equation for the fitted regression model that predicts Volume from Diameter and Height
together?
b) What is the residual for the tree with Diameter = 8.8 and Height = 63 ?
c) The tree with the largest residual has Diameter = ? and Height = ?
d) What is the value of the residual standard deviation for the model fit in part a)?
2. Enter the dataset named Cars.mtw from the 22S-008 MTW data folder.
a) The column named ExpMPG is the miles per gallon for expressway driving measured for 45 different
cars. Create a new variable called ExpGP100M that gives gallons used per 100 miles in expressway
driving. What formula do you use to get ExpGP100M from ExpMPG?
b) What are the mean and standard deviation for ExpGP100M?
c) What is the equation for the fitted parallel-lines regression model that predicts ExpGP100M from a cars
Weight together with the indicator variable Foreign?
d) What is the correlation coefficient between ExpGP100M and Weight?

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22S:008 Exam 2, Part I, Oct. 29, 1998 Form A

Name:_________________________________________________ Please circle one. Section: 10:30 or 11:

Do not print anything on the Lab printers. Please enter all of your answers from the computer screen onto these exam pages. Each part is worth two points.

  1. Enter the dataset named Trees.mtw from the 22S-008 MTW data folder.

a) What is the equation for the fitted regression model that predicts Volume from Diameter and Height together?

b) What is the residual for the tree with Diameter = 8.8 and Height = 63?

c) The tree with the largest residual has Diameter =? and Height =?

d) What is the value of the residual standard deviation for the model fit in part a)?

  1. Enter the dataset named Cars.mtw from the 22S-008 MTW data folder.

a) The column named ExpMPG is the miles per gallon for expressway driving measured for 45 different cars. Create a new variable called ExpGP100M that gives gallons used per 100 miles in expressway driving. What formula do you use to get ExpGP100M from ExpMPG?

b) What are the mean and standard deviation for ExpGP100M?

c) What is the equation for the fitted parallel-lines regression model that predicts ExpGP100M from a cars Weight together with the indicator variable Foreign?

d) What is the correlation coefficient between ExpGP100M and Weight?