Note: All the variables should be continuous/flow variable except the "dummy (yeso)" variables. Precisely, the dummy variables can only be in "0 and 1" terms.

1. The variable from Question 1 is your dependent variable. Now, based on correlation matrix considering the other 8 questions (do not include the "yeso" questions for the correlation matrix), decide 5 variables for your analysis. 2. Find the distribution of all the 6 variables (including the dependent variable) and plot the distribution for each of the variables. 3. Run the regression including all the 5 independent variables and two of the dummy variables. Report your results and interpret. What is the value of the explanatory power of your model and what can you interpret? 4. If you can think about an interaction term, include that interacted variable in your regression and run the regression. Report your result and Interpret the coefficient of the interaction term, and your Adjusted R-Squared value.

F G H C D E B Question 4 Question 5 Question 3 Question 2 (hours) Yes No Yes Question1 Covered Van Car Survey ID (miles) taka) Motor Bike SUV 500 30 PH O O L O L O L L L L O O L O O O L L O L OH O O O O O O L O L O O L O O L O L O L O O O O L O O H H H O O O O O O 1000 100 500 300 50 W N in A U W N W H H H U U N H H N W N N H L N H W H N H N W L L N N E N O H H H H H H H H O O O O N 40 O O O O O O O O H O O O L O O O O O O O O O O L O O O L O O L O L O O L O O O O L L L O O O L H O H 500 20 40 W N H H O H A H W H A N U H N G H H N N UT Y VI CT W Z DO W A N H W A N W N O O O O O O O O O O O O O 700 200 100 1000 20 V O W O DO LO MT V W A W W N UT A W VI DO N A W A W W N UI A W MI OO N A O MI W A B H L L LL 500 50 700 20 200 40 100 20 500 40 500 20 40 V W O A V W N N J W J G L E N G E N O DO W A A W W O V L 100 1000 40 100 30 100 20 200 20 100 20 100 40 100 40 200 40 100 20 500 40 100 20 100 20 100 10 200 20 100 10 10 100