1. (40 points) Use the following data set:
(1) (20 points) Divide the data set to Train, Test Data Sets. Your training and test data sets consists of columns “FamilyIncome”, “FamilySize”.
(2) (20 points) Use Naive Bayes Classifier for predicting whether the customer will buy electronics.
2. (45 points) Use the following data set:
(1) (10 points) Consider the “alcconsumption” as a dependent variable and “incomeperperson” as inde- pendent variable. Draw the regression line and find the regression coefficients.
(2) (10 points) Fit polynomial regression equation with “alcconsumption” as a dependent variable and “incomeperperson” as independent variable.
(3) (10 points) Fit multiple regression equation with “lifeexpectancy” as dependent variable and “alc- consumption” and “incomeperperson” as independent variable.
(4) (15 points) Draw histograms for “incomeperperson”. One histogram with counts and one histogram with density.
3. (15 points) How many numbers are there between 10 and 150 that are divisible by 6?
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