Import the data from the Hill City Excel file into Minitab. You are trying to predict Price. Note: Mtn View=1 if there is a mountain view, 0 otherwise. The rest of the variables should be self explanatory. 1.Perform an F Test for overall significance of the model 2.Perform a T test for slope for the age variable 3. Find a 95% confidence interval for the slope of the SqFeet variable 4. Create a prediction, CI, and PI for 1 new set of x values (any valid numbers you want), and interpret each. 5. Run the residual plots and indicate if they show any problems with the model.
Import the data from the Hill City Excel file into Minitab. You are trying to predict Price. Note: Mtn View=1 if there is a mountain view, 0 otherwise. The rest of the variables should be self explanatory. 1.Perform an F Test for overall significance of the model 2.Perform a T test for slope for the age variable 3. Find a 95% confidence interval for the slope of the SqFeet variable 4. Create a prediction, CI, and PI for 1 new set of x values (any valid numbers you want), and interpret each. 5. Run the residual plots and indicate if they show any problems with the model.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Import the data from the Hill City Excel file into Minitab.
You are trying to predict Price.
Note: Mtn View=1 if there is a mountain view, 0 otherwise. The rest of the variables
should be self explanatory.
1.Perform an F Test for overall significance of the model
2.Perform a T test for slope for the age variable
3. Find a 95% confidence interval for the slope of the SqFeet variable
4. Create a prediction, CI, and PI for 1 new set of x values (any valid
numbers you want), and interpret each.
5. Run the residual plots and indicate if they show any problems with
the model.
Transcribed Image Text:A
B
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F
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1
Price
Bathrooms Garage spaceMtn View
SqFeet
1000
Age
Bedrooms
110000
28
3
1
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3
133500
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23
3
1
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