Method	End-of-Training	Proficiency	Method coded	Study Time	Proficiency*Method coded			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.
classroom	14	94	0	22	0
classroom	17	98	0	18	0
classroom	19	96	0	12	0
classroom	26	105	0	25	0
classroom	28	110	0	10	0
online	34	84	1	8	84			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 includedwith interaction term Final Model: only include independent variables that significantly contribute to the model at a .05 level of significance --> provide the analyses outputsin the povided sheets or rename your created sheets accordingly Points possible: 40
classroom	35	102	0	16	0
classroom	36	111	0	21	0
classroom	38	100	0	9	0
online	38	80	1	23	80
classroom	40	102	0	14	0
classroom	41	109	0	15	0
classroom	42	111	0	20	0
online	43	90	1	11	90
online	43	97	1	24	97
online	46	104	1	22	104
online	52	101	1	18	101			For your final model, provide the following information on this sheet:
online	53	96	1	12	96
classroom	55	92	0	25	0		a)	Create 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.
classroom	55	99	0	10	0
online	55	110	1	8	110
classroom	57	107	0	16	0			Predicted Y Residual PLOT:
online	61	97	1	21	97
online	63	112	1	9	112
classroom	66	130	0	23	0
online	74	118	1	14	118
online	76	120	1	15	120
online	79	120	1	20	120
online	81	118	1	11	118
online	93	115	1	24	115
								Answer:
							b)	State the multiple regression equation using the names of your variables instead of x1, 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.