Method classroom classroom classroom classroom classroom End-of-Training Proficiency Method coded Study Time Proficiency Method coded 14 94 0 22 17 98 18 19 96 0 12 26 105 0 28 110 0 10 Online 34 84 1 classroom 35 102 0 16 classroom 36 111 0 21 classroom 38 100 0 9 Online 38 80 1 23 classroom 40 102 0 14 classroom 41 109 0 15 classroom 42 111 0 20 Online 43 90 1 11 Online 97 1 24 Online 46 104 1 22 Online 52 101 1 18 Online 53 96 1 12 classroom 55 92 0 25 classroom 99 0 10 Online 55 110 1 8 classroom 57 107 0 16 online 61 97 1 21 Online 63 112 1 9 classroom 66 130 0 23 Online 74 118 1 14 Online 76 120 1 15 Online 79 120 1 20 Online 81 118 1 11 online 93 115 1 24 You are working in the training department of a large insurance company and you are charged with the task to determine which training method is best. There are two methods to be evaluated, which are classroom and online training. You received data of a sample of 30 trainees (15 from each training method). Before the training, each trainee is given a proficiency exam and at the end of the training each trainee is given the end-of-training exam. The sampled trainees also provided information on the time they spent studying outside of the classroom. The data collection results are provided to your left. Develop the multiple regression model that best predicts the score on the end-of training exam. Consider the following options: Model 1: all independent variables (proficiency, study time, method coded) included without interaction term Model 2: all independent variables included with interaction term Final Model: only include independent variables that significantly contribute to the model at a .05 level of significance -->provide the analyses outputs in the povided sheets or rename your created sheets accordingly Points possible: 40 For your final model, provide the following information on this sheet: a) Create a residuals versus predicted y plot and analyze all plots. Provide a statement whether the assumptions are met (including why) to achieve valid results from the regression model. Predicted Y Residual PLOT: Answer: b) State the multiple regression equation using the names of your variables instead of x,, etc. (2 decimals) c) Provide the test statistic with its p-value that indicates the significance of the overall multiple regression model (3 decimals) d) Provide the value of the coefficient of multiple determination (2 decimals) and explain its meaning.