Answer Happy

In a statistical analysis conducted in U.K., the monthly total number of read seat passengers died in car accidents are tried to explain using the following two variables: • kms: Kilometer driven by the driver (experience) • PetrolPrice: oil price a. Provide the correlation matrix for this data set. What do you think about the relation between the three variables? Interpret the results. (6 pnts) b. Provide scatter plots for rear-kms and rear-PetrolPrice pairs using the following coloring scheme: For months with more than 500 rear-seat deaths should be indicated with red, whereas months with less than 250 deaths of rear-seat passengers should be given with blue. (8 pnts) c. Provide a linear regression model where rear is the dependent variable. Which variable is more important for the dependent variable? What is the coefficient of determination? (10 pnts) d. In a different analysis, a statistician finds that the correlation coefficient between the number of dead rear-seat engers and the number of dead front seat passengers is larger than 0.70. If the dependent variable were taken as the number of dead front seat passengers (instead of rear- seated ones), which of the following can be said for the linear regression model? (6 pnts) • Both of the regression coefficients of the independent variables would be negative (YES or NO). Both of the regression coefficients would be significant in the model (YES or NO).