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.
Algebra: Structure And Method, Book 1
(REV)00th Edition
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Chapter7: Applying Fractions
Section7.5: Percents
Problem 23OE
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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.
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