Question 2 , A car loans officer of a large commercial bank wishes to determine whether the amount of money owned by delinquent car-loan customers when their car is repossessed is related to the type...

Kindly explain steps as I do not understand R studio

Extracted text: Question 2 , A car loans officer of a large commercial bank wishes to determine whether the amount of money owned by delinquent car-loan customers when their car is repossessed is related to the type of car owned. Twenty delinquent customers are randomly selected and assigned to 1 of 4 groups, depending on the type of car owned. The outstanding amount of the loan is then recorded. This data (in hundreds of dollars) is presented below. CompactMid-size Full-size Sports 19.5 8.9 16.5 14.1 9.9 18.3 13.0 21.2 19.4 16.2 12.2 14.9 18.1 12.2 22.2 18.7 12.9 20.7 17.8 21.8 (a) Using R-Studio, derive the analysis of variance table. Ensure that you provide the code used and relevant output tables. (b) Do these data provide sufficient evidence to indicate there are significant differences between the mean amounts owed for the 4 types of cars? Test at a significant level of 5 percent. Ensure that you state the null hypothesis(es) and the decision rule in your analysis. (c) Using R-Studio, carry out relevant tests to determine if the assumptions of the ANOVA analysis were violated. Carefully discuss your findings quoting relevant statistics. (Provide the code used and relevant output tables.)


Extracted text: A firm is trying to higher new management trainees. After the preliminary interview the potential trainees are ranked into four (4) groups: Poor, Fair, Good and Excellent. The firm then administers three computer-based aptitude tests to evaluate the Verbal Ability, Data Interpretation and Problem Solving of the prospective management trainee. The candidates are allowed to take each test twice and the higher grade is reported. The scores obtained are listed in the following table: Test Type Subject Type Verbal Ability Data Problem Interpretation Solving Poor 65 68 69 71 75 75 Fair Good Excellent 74 64 83 79 72 84 72 69 73 78 70 65 68 78 82 78 76 75 (d) Using R-Studio, derive the analysis of variance table. Ensure that you provide the code used and relevant output tables. (e) State the null hypothesis(es), the decision rule for a = 0.05 and make the decision for each hypothesis. () Using R-Studio, carry out relevant tests to determine if the assumptions of the ANOVA analysis were violated. Carefully discuss your findings quoting relevant statistics. (Provide the code used and relevant output tables