Enter below the output of the summary(lmChargesAll) command.

Enter below an R command that will output the proportion of individuals in the data frame who had a stroke and the proportion of people who did not have a stroke.

Provide support here for your response to the previous question. Put another way, how did you arrive at your answer?

How many employees in the data set have the Explorer personality type?

How good is your model? Be sure to address how well the model is likely to predict, as well as how well it satisfies the assumptions of regression.

What is the overall accuracy of your model? Provide your answer to four decimal places.

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.