5.5 the Myers-Briggs personality test. Table 5.6 shows SAS output for fitting a model using the four scales as predictors of whether a subject drinks alcohol frequently. EI SN TF a. Conduct a model goodness-of-fit test, and interpret. If you were to simplify the model by removing a predictor, which would you remove? Why? c. Using the MBTI data file at the website www.stat.ufl.edu/~aa/intro- cda/data, use model-building methods to select a model for this alcohol response variable. Table 5.6 SAS output for fitting model to Myers-Briggs personality scales data of Exercise 4.12. TR b. Software reports AIC values of 642.1 for the model with the four main effects and the six interaction terms, 637.5 for the model with only the four binary main effect terms, and 648.8 for the model with no predictors. According to this criterion, which model is preferred? Explain the rational for using AIC. Parameter Intercept Criterion Deviance e S t T Estimate -2.4668 0.5550 -0.4292 0.6873 -0.2022 Value 11.1491 Like-ratio 95% DF 11 Standard Error 0.2429 -2.9617 0.2170 0.1314 0.2340 -0.8843 0.2206 0.2549 0.2266 -0.6477 Conf Limits -2.0078 0.9843 0.0353 1.1219 0.2426 Chi- Square 103.10 6.54 3.36 9.71 0.80

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

This is excercise 4.12 for reference:

4.12

At the website www.stat.ufl.edu/~aa/intro-cda/data for the 2nd edition of this book, the MBTI data file cross-classifies a sample of people from the MBTI Step II National Sample on whether they report drinking alcohol frequently and on the four binary scales of the Myers-Briggs personality test: Extroversion/Introversion (E/I), Sensing/iNtuitive (S/N), Thinking/Feeling (T/F) and Judging/Perceiving (J/P). The 16 predictor combinations correspond to the 16 personality types: ESTJ, ESTP, ESFJ, ESFP, ENTJ, ENTP, ENFJ, ENFP, ISTJ, ISTP, ISFJ, ISFP, INTJ, INTP, INFJ, INFP. (e.g., of the 77 people of type ESTJ, 13 reported smoking frequently.) Fit a model using the four scales as predictors of the probability of drinking alcohol frequently.
Report the prediction equation, specifying how you set up the indicator variables.
Based on the model parameter estimates, explain why the personality type with the highest estimated probability of drinking alcohol is ENTP.

5.5 Exercise 4.12 introduced four scales of the Myers-Briggs personality test.
Table 5.6 shows SAS output for fitting a model using the four scales as predictors
of whether a subject drinks alcohol frequently.
a. Conduct a model goodness-of-fit test, and interpret. If you were to simplify the
model by removing a predictor, which would you remove? Why?
b. Software reports AIC values of 642.1 for the model with the four main effects and
the six interaction terms, 637.5 for the model with only the four binary main effect
terms, and 648.8 for the model with no predictors. According to this criterion,
which model is preferred? Explain the rational for using AIC.
EI
SN
TF
JP
c. Using the MBTI data file at the website www.stat.ufl.edu/~aa/intro-
cda/data, use model-building methods to select a model for this alcohol
response variable.
Table 5.6 SAS output for fitting model to Myers-Briggs personality scales data of Exercise 4.12.
Criterion
Deviance
Parameter
Intercept
CTS (D
e
t
U.
j
Estimate
-2.4668
0.5550
-0.4292
0.6873
-0.2022
Value
11.1491
Like-ratio 95%
DF
11
Standard
Error
-2.9617
0.2429
0.2170
0.1314
0.2340
-0.8843
0.2206
0.2549
0.2266
-0.6477
Conf Limits
-2.0078
0.9843
0.0353
1.1219
0.2426
Chi-
Square
103.10
6.54
3.36
9.71
0.80
Transcribed Image Text:5.5 Exercise 4.12 introduced four scales of the Myers-Briggs personality test. Table 5.6 shows SAS output for fitting a model using the four scales as predictors of whether a subject drinks alcohol frequently. a. Conduct a model goodness-of-fit test, and interpret. If you were to simplify the model by removing a predictor, which would you remove? Why? b. Software reports AIC values of 642.1 for the model with the four main effects and the six interaction terms, 637.5 for the model with only the four binary main effect terms, and 648.8 for the model with no predictors. According to this criterion, which model is preferred? Explain the rational for using AIC. EI SN TF JP c. Using the MBTI data file at the website www.stat.ufl.edu/~aa/intro- cda/data, use model-building methods to select a model for this alcohol response variable. Table 5.6 SAS output for fitting model to Myers-Briggs personality scales data of Exercise 4.12. Criterion Deviance Parameter Intercept CTS (D e t U. j Estimate -2.4668 0.5550 -0.4292 0.6873 -0.2022 Value 11.1491 Like-ratio 95% DF 11 Standard Error -2.9617 0.2429 0.2170 0.1314 0.2340 -0.8843 0.2206 0.2549 0.2266 -0.6477 Conf Limits -2.0078 0.9843 0.0353 1.1219 0.2426 Chi- Square 103.10 6.54 3.36 9.71 0.80
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman