Homework Help is Here – Start Your Trial Now!
Math
Statistics
22.) Using the parameter estimates in the JMP output, is there a problem with multicollinearity?                   YES                  NO                CANNOT ASSESS Justification:   What other method(s) may be used to assess multicollinearity?

22.) Using the parameter estimates in the JMP output, is there a problem with multicollinearity?                   YES                  NO                CANNOT ASSESS Justification:   What other method(s) may be used to assess multicollinearity?

Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
See similar textbooks
icon
Related questions
Question

22.) Using the parameter estimates in the JMP output, is there a problem with multicollinearity?

                  YES                  NO                CANNOT ASSESS

Justification:

 

What other method(s) may be used to assess multicollinearity?

JMP OUTPUT- #21-24 Model Number RSquare RMSE Cp x2 1 0.9566 19.1669 2.0888 x3 1 0.7637 44.7511 82.6080 This highlight x1 1 0.0257 90.8632 390.5179 does not mean x2,x3 0.9604 18.8612 2.5432 anything. It is just a quirk of х1,х2 2 0.9578 19.4661 3.6213 х1,x3 2 0.7637 46.0439 84.5881 JMP. х1,x2,x3 3 0.9617 19.1198 4.0000 Figure 1: Table of Possible Predictive Models Parameter Estimates Term Estimate Std Error t Ratio Prob> |t| VIF Intercept 9.6002837 38.54101 0.25 0.8067 х1 -1.216878 1.188857 -1.02 0.3223 1.0660932 x2 5.3978072 0.56296 9.59 <.0001* 3.9067774 x3 -1.374817 1.720724 -0.80 0.4368 15.600942 x4 1.3419933 0.789778 1.70 0.1099 13.067958 Figure 2: Parameter Estimates for x1, x2, x3, and x4 6- 6- Positive 4 4 -4. -4- Negative Negative -6- -6- -8 30.0 32.5 35.0 -8 30.0 32.5 35.0 Figure 3: Studentized Residual Plots A (Left) and B (Right) SLR Residual in Y QR Residual in Y
Transcribed Image Text:JMP OUTPUT- #21-24 Model Number RSquare RMSE Cp x2 1 0.9566 19.1669 2.0888 x3 1 0.7637 44.7511 82.6080 This highlight x1 1 0.0257 90.8632 390.5179 does not mean x2,x3 0.9604 18.8612 2.5432 anything. It is just a quirk of х1,х2 2 0.9578 19.4661 3.6213 х1,x3 2 0.7637 46.0439 84.5881 JMP. х1,x2,x3 3 0.9617 19.1198 4.0000 Figure 1: Table of Possible Predictive Models Parameter Estimates Term Estimate Std Error t Ratio Prob> |t| VIF Intercept 9.6002837 38.54101 0.25 0.8067 х1 -1.216878 1.188857 -1.02 0.3223 1.0660932 x2 5.3978072 0.56296 9.59 <.0001* 3.9067774 x3 -1.374817 1.720724 -0.80 0.4368 15.600942 x4 1.3419933 0.789778 1.70 0.1099 13.067958 Figure 2: Parameter Estimates for x1, x2, x3, and x4 6- 6- Positive 4 4 -4. -4- Negative Negative -6- -6- -8 30.0 32.5 35.0 -8 30.0 32.5 35.0 Figure 3: Studentized Residual Plots A (Left) and B (Right) SLR Residual in Y QR Residual in Y
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 3 steps

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
Knowledge Booster
Research Ethics
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Algebra & Trigonometry with Analytic Geometry
Algebra & Trigonometry with Analytic Geometry
Algebra
ISBN:
9781133382119
Author:
Swokowski
Publisher:
Cengage
Glencoe Algebra 1, Student Edition, 9780079039897…
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
SEE MORE TEXTBOOKS