IN R analysis of the titanic_train data set. Continue your script

from the Week 4 homework assignment.

1. Fit a linear regression model to predict with the ticket fare (Fare) using passenger

class (Pclass), Sex, Age, the number of siblings / spouses aboard (SibSp), and the port

of embarkation (Embarked). Obtain a summary of your model and include it in your

homework document. Also, answer the following questions:

a. Which variables appear to be statistically significant?

b. Why are there two variables for Pclass in the model?

c. Why are there two variables for Embarked in the model?

2. Fit a logistic regression model with Survived as the response and passenger class

(Pclass), Sex, and Age as predictors. Obtain a summary of your model and include it

in your homework document.

3. Using your model from Exercise 2, predict the probability of survival for an

individual that was: in passenger class 1, a female, and 25 years old. Remember

from the learning video that you will need to define a data frame with the new

values of Pclass, Sex, and Age. Make sure that you treat Pclass and Sex as factors in

your new data frame (also, make sure you use the correct names for the factor

levels!). Report the predicted probability of survival (Remember: a probability

should be somewhere between 0 and 1!) in your homework document.

Hint: You will need to include the argument type="response" in the predict()

function to return a probability.