a) Run a Multiple Regression as you did before, however also click on Residuals, Residual Plots, and Line Fit Plots. b) Analyze the results of the residual plots and line fit plots based upon Chapter 7 residual concepts (see video for residual plot and line fit plot information) c) Create a scatter chart for the predicted y value and the residuals. Analyze the results. Does the pattern appear to have a mean of zero, to have similar variances, and to be concentrated around the zero ie does this provide evidence that our model violates or does not violate conditions necessary for reliable inferences? Why? d) Check the correlations between the independent variables (see formula on page 327) and determine if multicollinearity exists or does not exist. If it does exist, what problems does this cause?
a) Run a Multiple Regression as you did before, however also click on Residuals, Residual Plots, and Line Fit Plots. b) Analyze the results of the residual plots and line fit plots based upon Chapter 7 residual concepts (see video for residual plot and line fit plot information) c) Create a scatter chart for the predicted y value and the residuals. Analyze the results. Does the pattern appear to have a mean of zero, to have similar variances, and to be concentrated around the zero ie does this provide evidence that our model violates or does not violate conditions necessary for reliable inferences? Why? d) Check the correlations between the independent variables (see formula on page 327) and determine if multicollinearity exists or does not exist. If it does exist, what problems does this cause?
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
100%
a) Run a Multiple Regression as you did before, however also click on Residuals, Residual Plots, and Line Fit Plots.
b) Analyze the results of the residual plots and line fit plots based upon Chapter 7 residual concepts (see video for
residual plot and line fit plot information)
c) Create a scatter chart for the predicted y value and the residuals. Analyze the results. Does the pattern appear to
have a mean of zero, to have similar variances, and to be concentrated around the zero ie does this provide evidence
that our model violates or does not violate conditions necessary for reliable inferences? Why?
d) Check the
multicollinearity exists or does not exist. If it does exist, what problems does this cause?
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Overall
94.3
92.9
92.8
91.2
90.4
90.2
90.1
89.8
89.3
89.1
89.1
89.0
88.6
87.1
87.1
86.5
86.1
86.0
86.0
85.1
Comfort
94.5
96.6
99.9
88.5
95.0
92.4
95.9
92.5
94.6
90.5
90.8
93.0
92.5
93.0
90.9
94.3
95.4
94.8
92.0
93.4
Amenities
90.8
84.1
100.0
94.7
87.8
82.0
86.2
92.5
85.8
83.2
81.9
93.0
78.2
91.6
74.9
78.0
77.3
76.4
72.2
77.3
In-House Dining
97.7
96.6
88.4
97.0
91.1
98.7
91.9
88.8
90.7
90.4
88.5
89.6
91.2
73.5
89.6
91.5
90.8
91.4
89.2
91.8
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Step 1: Write the given information.
VIEWStep 2: Run a Multiple Regression and also click on Residuals, Residual Plots, and Line Fit Plots.
VIEWStep 3: Analyse the Residual Plots, and Line Fit Plots for the regression analysis.
VIEWStep 4: Construct a scatter chart for the predicted y value and the residuals.
VIEWStep 5: Determine the correlations between the independent variables.
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