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.

According to this regression model, assuming the same attributes other than personality, which personality type earns the least?

How many independent variable pairs have a correlation > 0.5?

How many variables in your correlation matrix have a correlation with charges > 0.2?

Enter a command below that will output the row totals for tab.stroke.test.