Maintenance Age (years) Miles since last Maintenance Odometer Miles cost ($) Maintenance cost (S) 1 Age (years) Odometer Miles 1 Miles since last Maintenance -2. Which independent variables have strong or weak correlations with the dependent variable? correlation between age and maintenance cost. There is a -3. Do you see any problems with multicollinearity? Yes O No
Maintenance Age (years) Miles since last Maintenance Odometer Miles cost ($) Maintenance cost (S) 1 Age (years) Odometer Miles 1 Miles since last Maintenance -2. Which independent variables have strong or weak correlations with the dependent variable? correlation between age and maintenance cost. There is a -3. Do you see any problems with multicollinearity? Yes O No
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 13PPS
Related questions
Question
Ch 13. 7: Refer to the Lincolnville School District bus data. First, add a variable to change the type of engine (diesel or gasoline) to a qualitative variable. If the engine type is diesel, then set the qualitative variable to 0. If the engine type is gasoline, then set the qualitative variable to 1. Develop a regression equation using statistical software with maintenance cost as the dependent variable and age, odometer miles, miles since last maintenance, and engine type as the independent variables.

Transcribed Image Text:a-1. Develop a correlation matrix. (Negative amounts should be indicated by a minus sign. Round your answers to 4 decimal
places.)
Maintenance
cost ($)
Miles since last
Age (years)
Odometer Miles
Maintenance
Maintenance cost ($)
Age (years)
Odometer Miles
Miles since last Maintenance
1
a-2. Which independent variables have strong or weak correlations with the dependent variable?
There is a
|correlation between age and maintenance cost.
a-3. Do you see any problems with multicollinearity?
Yes
O No

Transcribed Image Text:b-1. Use a statistical software package to determine the multiple regression equation.
Maintenance Costs =
Age.
Use a statistical software package to determine the multiple regression equation. (Negative amounts should be indicated by a minus
sign. Round your answers to 3 decimal places.)
Maintenance Costs =
Age +
Engine type.
b-2. What is the value of R2. (Round your answer to 1 decimal place.)
%
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