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Homework answers / question archive / Conduct the same analysis as in Exercise 1 using the MCMClogit() function provided in the MCMCpack package

Conduct the same analysis as in Exercise 1 using the MCMClogit() function provided in the MCMCpack package

Statistics

Conduct the same analysis as in Exercise 1 using the MCMClogit() function provided in the MCMCpack package. Don’t forget to use install.packages() and library() if this is the first time you have used MCMCpack. Report the point estimates (means) and 95% HDIs for the intercept and each predictor. Compare the results from the Bayesian analysis with the results from the traditional null hypothesis significance tests.

Exercise 1

The built-in data sets of R include one called “mtcars,” which stands for Motor Trend cars. Motor Trend was the name of an automotive magazine and this data set contains information on cars from the 1970s. Use “?mtcars” to display help about the data set. The data set includes a dichotomous variable called vs, which is coded as 0 for an engine with cylinders in a v-shape and 1 for so called “straight” engines. Use logistic regression to predict vs, using two metric variables in the data set, gear (number of forward gears) and hp (horsepower). Interpret the resulting null hypothesis significance tests.

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