• The file Lasagna Triers-case study.xlsx contains data on 856 people who have either tried or not tried a company's new frozen Lasagna product. The dependent variable, "Have Tried", is categorical. The company believes that "age", "weight", "income" might be useful in discriminating between the two groups.
• a. Use multiple linear (probability) model regression and discuss the issue you find;
• b. Use logistic regression. Which independent variables appear to be important in the classfication?
• Rubric: 1.create a dummy dependent variable 1/1;2. run and report multiple linear probability regression 2/2;3. calculate predicted Y-hat using multiple linear probability regression and discussion issue (i.e. number of y-hat values being negative or greater than 1) 2/2;4. run logitisticregression 3/3;5. calculate predicted y-hat using logistic regression and discuss your finding ( whether there is any y-hat value being negative or greater than 1; significance of independent variables) 2/2.