Data was coilected on a random sample of 19 Swiss military draftees with the goal to assess the relations hip between education and performance on a military examination. For each individual, the score on a military examination was recorded ["Exam'] as well as the number of years of education beyond primary school [\"Education']. This data is shown in the two vectors beiow. To use the data, copy and paste the following lines into your R or RStudio console. Exam=c{'l3,18,5,19,22,14,'l5,16,12,19,15,16, 22,14,26,15,26,14,?]; Educationcc3,2,2,12,5,3,,10,?,12,12,13,12,6,12,8,12,?',6]; 3. Find the correlation between military exam score and the number of years of education beyond primary school. Answer: [:] Round to at ieast FIVE decimais if necessary b. State the regression equation that expresses military exam score {Y} as a linear function of the number of years of education beyond primary school [X]. Report ALL decimais printed by R. i=8 =~ Bx.- o. Which is the correct interpretation of u in the above regression equation? '3' A. As the number of years of education beyond primary school increases by u, the military exam score increases by 1 C} B. As the number of years of education beyond primary school increases by 1, the military exam score increases on average by u C' c. The number of years of education beyond primary school for a person with a military exam score of 0 is, on average, u C} D. As the number of years of education beyond primary school increases by 1, the military exam sccre increases by g 0 E. As the number of years of education beyond primary school increases by u, the military exam score increases on average by 1 C3- F. The military exam score fora person with 0 years of education beyond primary school is, on average, u d. The fourth individual in the dataset is a person that has 12 years of education beyond primary school and has a military exam score of 19. Compute the residual for this person. r? = C] Round to at ieast FiliE decimais if necessary