MethodEnd-of-TrainingProficiencyMethod codedStudy TimeProficiency*Method codedclassroom14940220classroom17980180classroom19960120classroom261050250classroom281100100online34841884classroom351020160classroom361110210classroom38100090online388012380classroom401020140classroom411090150classroom421110200online439011190online439712497online46104122104online52101118101online539611296classroom55920250classroom55990100online5511018110classroom571070160online619712197online6311219112classroom661300230online74118114118online76120115120online79120120120online81118111118online93115124115Develop 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 the interaction termModel 2: all independent variables included with the interaction termFinal Model: only include independent variables that significantly contribute to the model at a .05 level of significance--> Provide the analyses outputs

Given data: Method End-of-Training y Proficiency x1 Method coded x2 Study Time x3…

Answered: Method End-of-Training Proficiency…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Related questions

Question

Method	End-of-Training	Proficiency	Method coded	Study Time	Proficiency*Method coded
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
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
online	53	96	1	12	96
classroom	55	92	0	25	0
classroom	55	99	0	10	0
online	55	110	1	8	110
classroom	57	107	0	16	0
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

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 the interaction term
Model 2: all independent variables included with the interaction term
Final Model: only include independent variables that significantly contribute to the model at a .05 level of significance
--> Provide the analyses outputs

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