Jerry Stevenson is the manager of a travel agency. He wants to build a model that can predict whether or not a customer will travel within the next year. He has compiled a data set that contains the following variables: whether the individual has a college degree (College), whether the individual has a credit card (CreditCard), annual household spending on food (FoodSpend in $), annual income (Income in $), and whether the customer has plans to travel within the next year (TravelPlan, 1 = have travel plans; 0 = do not have travel plans). A portion of the Travel_Plan data is shown in the accompanying table.

a. Are there any missing values in the data set? If there are, which variables have missing values? How many missing values are there in the data set?

b. Use the omission strategy to handle missing values. How many observations are removed due to missing values?

Transcribed Image Text:

College Credit Card Yes No ⠀ No No No ⠀ Yes FoodSpend 1706.89 2892.9 ⠀ 2617 Income 49412 55416 ⠀ 50900 TravelPlan 1 0 ⠀ 0