Region	Revenue ($miI)	Number of Partners	Number of Professionals	MAS (%)	SE	GC
Southeast	338.00	157	1222	31	1	0
Southeast	130.80	51	576	10	1	0
Southeast	109.60	93	755	13	1	0
Southeast	73.74	47	314	15	1	0
Southeast	68.56	26	253	11	1	0
Southeast	61.62	12	180	0	1	0
Southeast	44.87	38	172	2	1	0
Southeast	39.10	36	182	8	1	0
Southeast	32.49	27	116	3	1	0
Southeast	21.65	13	95	4	1	0
Southeast	21.07	32	79	24	1	0
Gulf Coast	171.08	130	674	14	0	1
Gulf Coast	113.80	124	522	6	0	1
Gulf Coast	86.00	22	366	15	0	1
Gulf Coast	72.33	20	364	46	0	1
Gulf Coast	50.00	16	137	4	0	1
Gulf Coast	49.37	28	276	30	0	1
Gulf Coast	27.33	21	132	17	0	1
Gulf Coast	21.74	14	95	9	0	1
Gulf Coast	19.60	14	77	0	0	1
Gulf Coast	18.50	14	68	8	0	1
Gulf Coast	17.50	12	80	1	0	1
Gulf Coast	17.20	14	75	14	0	1
Gulf Coast	15.85	14	65	12	0	1
Gulf Coast	15.22	14	67	7	0	1
Gulf Coast	14.40	11	61	10	0	1
Gulf Coast	14.14	5	40	20	0	1
Gulf Coast	13.20	13	43	21	0	1
Gulf Coast	12.00	15	60	3	0	1
Capital Region	90.80	13	344	26	0	0
Capital Region	59.66	14	177	35	0	0
Capital Region	47.77	29	155	21	0	0
Capital Region	41.10	18	205	36	0	0
Capital Region	29.78	33	111	7	0	0
Capital Region	25.00	11	141	22	0	0
Capital Region	24.02	13	115	6	0	0
Capital Region	22.78	19	82	11	0	0
Capital Region	22.30	10	106	6	0	0
Capital Region	21.80	11	59	1	0	0
Capital Region	20.99	16	103	0	0	0
Capital Region	20.78	21	90	26	0	0
Capital Region	18.79	15	73	21	0	0
Capital Region	18.00	19	57	8	0	0
Capital Region	16.90	21	95	19	0	0

Background Accounting Today identified top public accounting firms in ten geographic regions across the U.S. The file Accounting Partners6 contains data for public accounting firms in the Southeast, Gulf Coast, and Capital Regions. The variables are: revenue ($millions), number of partners in the firm, number of professionals in the firm, proportion of business dedicated to management advisory services (MAS%), whether the firm is located in the Southeast Region (0 = no, 1 = yes), and whether the firm is located in the Gulf Coast Region (0 = no, 1 = yes). Task Develop the most appropriate multiple regression model to predict firm revenue and make sure you answered all the questions listed below. (a) What type of regression, linear of logistic, is needed to predict the dependent variable? Are dummy variables needed for this study? (b) Develop the most appropriate multiple regression model to predict the dependent variable. Es- pecially, at the 0.05 level of significance, determine whether each independent variable makes a significant contribution to the regression model. On the basis of these results, indicate the inde- pendent variables to include in this model. (c) If this improves the model, add up to two interaction terms and two quadratic terms. (d) Perform a thorough residual analysis to check that the regression assumptions are verified. (e) Interpret the slopes and the determination coefficient RP. Background Accounting Today identified top public accounting firms in ten geographic regions across the U.S. The file Accounting Partners6 contains data for public accounting firms in the Southeast, Gulf Coast, and Capital Regions. The variables are: revenue ($millions), number of partners in the firm, number of professionals in the firm, proportion of business dedicated to management advisory services (MAS%), whether the firm is located in the Southeast Region (0 = no, 1 = yes), and whether the firm is located in the Gulf Coast Region (0 = no, 1 = yes). Task Develop the most appropriate multiple regression model to predict firm revenue and make sure you answered all the questions listed below. (a) What type of regression, linear of logistic, is needed to predict the dependent variable? Are dummy variables needed for this study? (b) Develop the most appropriate multiple regression model to predict the dependent variable. Es- pecially, at the 0.05 level of significance, determine whether each independent variable makes a significant contribution to the regression model. On the basis of these results, indicate the inde- pendent variables to include in this model. (c) If this improves the model, add up to two interaction terms and two quadratic terms. (d) Perform a thorough residual analysis to check that the regression assumptions are verified. (e) Interpret the slopes and the determination coefficient RP