Proceed to develop the most appropriate regression model. Provide the output of the summary() command for your regression below. (If you feel the current model is the most appropriate, then just provide the summary for that model below.) Briefly describe what you did and why to arrive at this model.

How many factor variables are in the data frame TechSales?

Enter below an R command that will output four values: the proportion of females who had a stroke, the proportion of females who did not have a stroke, the proportion of males who had a stroke, and the proportion of males who did not have a stroke. The proportions should be rounded to two decimal places.

Enter an R command below that will output the possible values for Personality in this data frame. The output of the R command should be the four personality types. You may not use the summary() or table() command here.

Based on the output of the previous question, it would be appropriate to say that for all intents and purposes, the variables gender and stroke are statistically independent. (Consider a difference of 5% of less to be negligible.)

What is the probability that a randomly chosen employee is a Diplomat personality type and is in the software side of the business? Provide your answer to four decimal places.

Enter below an R command that will output the correlation matrix for all the numeric variables in insurance. The correlations should be displayed to three decimal places.

Given that an employee is a Diplomat personality type, what is the probability that s/he is in the software side of the business? Provide your answer to four decimal places.

Enter below an R command that will output the mean charges for each region.

Enter below an R command that will output a matrix of scatterplots of all the numeric variables in insurance.