Choose one (1) of these 4 choices:
1. Run a multiple multinomial logistic regression. The outcome can be truly unordered or simply ordinal. Tell me how you
think your independent variables will be related to your dependent variable. Interpret your results. Compare coefficients on
your X variable of interest (not all of them) across different cuts of the multinomial outcomes, as we did in class (i.e., the Z
test). For extra credit, generate some predicted probabilities. Tell me what you learned about your hypothesized
relationship(s) from this exercise.
2. Run a multiple Poisson regression. Illustrate that a Poisson regression (or negative binomial, or zero-inflated negative
binomial) is the appropriate model to use on your dependent variable. Tell me how you think your independent variables
will be related to your dependent variable and why. Interpret your results. For extra credit, generate some predicted values.
Tell me what you learned about your hypothesized relationship(s) from this exercise.
3. Run a Gamma regression. Illustrate that a Gamma regression is the appropriate model to use on your dependent
variable. Tell me how you think your independent variables will be related to your dependent variable and why. Interpret
your results. For extra credit, generate some predicted values. Tell me what you learned about your hypothesized
relationship(s) from this exercise.
4. Run a Tobit regression. Illustrate that a Tobit regression is the appropriate model to use on your dependent variable. Tell
me how you think your independent variables will be related to your dependent variable and why. Interpret your results. For
extra credit, generate some predicted values. Tell me what you learned about your hypothesized relationship(s) from this
exercise.
Total Points: 100
Criteria Ratings Pts
15 pts
15 pts
15 pts
15 pts
15 pts
25 pts
Student runs a multiple Poisson regression. // Student runs a multiple multinomial logistic regression. //
Student runs a multiple Gamma regression. // Student runs a multiple Tobit regression.
15 pts
Full
Marks
0 pts
No
Marks
Student illustrates that a Poisson regression (or negative binomial, or zero-inflated negative binomial) – or
multinomial, Gamma, Tobit – is the appropriate model to use on your dependent variable.
15 pts
Full
Marks
0 pts
No
Marks
Student tells me how they think their independent variables will be related to their dependent variable and
why.
15 pts
Full
Marks
0 pts
No
Marks
Student interprets their results. 15 pts
Full
Marks
0 pts
No
Marks
Student tells me what they learned about their hypothesized relationship(s) from this exercise. 15 pts
Full
Marks
0 pts
No
Marks
Overall, the student presents a clear and well-organized lab report, with things overall having very few, if
any, mistakes.
25 pts
Full
Marks
0 pts
No
Marks
5018, QMSS, solved
[SOLVED] Qmss 5018 lab #1
$25
File Name: Qmss_5018_lab__1.zip
File Size: 150.72 KB
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