11. What is the main \"advantage\" of using a logit model rather than a linear p

Question

11. What is the main "advantage" of using a logit model rather than a linear probability model? 12. [Go back to questions from HW and in-class review for regressions with logs -we covered these extensively, so I'm not going to make additional practice questions. Think of how you would interpret a log model from an actual regression output.] 13. (ANOVA) The variability due to chance, also known as within-treatments variability, is the estimate of 2 which is based on the 14. In a two-way ANOV A test, how many null hypotheses are tested? 15. Thinking of two-way ANOVA with interaction, what indicates that regression might be better suited for the analysis? 16. What hypotheses are we testing with ANOVA (all three cases)? 17. Regarding the following output, if our treatments are generation and blocks are education, with the variable of interest being salary, what conclusions can we draw? ANOVA Source of VariationSSdf Rows Columns Error MS Fp-value Fcrit 7632.923 2544.31 56.58 8.6E-05 4.76 579.502 4 269.83 289.756.44 003207 5.1 44.97 Total 8482.25

Explanation / Answer

13) based on the variability of the data within each sample

14) in two way anova we have to test three null hypothesis

Interaction for factor A

Interaction for factor B

Interaction for factor AB

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