Develop a model for predicting a player’s salary. For predictor variables, consider age (quadratic effect), height, weight, and relevant performance measures. Use model selection criteria to assess the choice of predictor variables as well as the functional form (linear or exponential). In order to estimate these models, you will have to first filter the data to include only career statistics based on regular seasons. Exclude players with no information on salary. Interpret your results with reference to well-formatted figures and tables.

Player	Name	Position	Age	Height	Weight	Salary	Season	Postseason	Team	Games_played	Games_started	Minutes	FG_made	FG_attempted	FG_percent	3P_made	3P_attempted	3P_percent	FT_made	FT_attempted	FT_percent	Rebound_off	Rebound_def	Assists	Blocks	Steals	Fouls	Turnovers	Points
25	Metta World Peace	SF	36	79	260	947276	'99-'00	FALSE	CHI	72	63	31.1	4.3	10.5	0.407	0.8	2.7	0.314	2.6	3.9	0.674	0.9	3.4	2.8	0.5	1.7	2.2	2.3	12
25	Metta World Peace	SF	36	79	260	947276	'00-'01	FALSE	CHI	76	74	31.1	4.3	10.7	0.401	0.6	1.9	0.291	2.8	3.7	0.75	0.8	3.1	3	0.6	2	3.3	2.1	11.9
25	Metta World Peace	SF	36	79	260	947276	'01-'02	FALSE	CHI	27	26	30.5	5.6	13	0.433	1.3	3.4	0.396	3	4.8	0.628	1.5	3.4	2.9	0.9	2.8	4	2.6	15.6
25	Metta World Peace	SF	36	79	260	947276	'01-'02	FALSE	IND	28	24	29.3	4.2	10.2	0.411	0.6	2.8	0.215	2	2.7	0.733	1.2	3.8	1.8	0.6	2.4	3.9	1.8	10.9
25	Metta World Peace	SF	36	79	260	947276	'02-'03	FALSE	IND	69	67	33.6	5.2	12.3	0.428	1	3.1	0.336	4	5.4	0.736	1.5	3.8	2.9	0.7	2.3	3.5	2.1	15.5
25	Metta World Peace	SF	36	79	260	947276	'03-'04	FALSE	IND	73	71	37.2	6.4	15.2	0.421	1	3.3	0.31	4.4	6	0.733	1.4	3.9	3.7	0.7	2.1	2.7	2.8	18.3
25	Metta World Peace	SF	36	79	260	947276	'04-'05	FALSE	IND	7	7	41.6	8.4	17	0.496	1	2.4	0.412	6.7	7.3	0.922	1.1	5.3	3.1	0.9	1.7	3.9	2.4	24.6
25	Metta World Peace	SF	36	79	260	947276	'05-'06	FALSE	IND	16	16	37.7	6.8	14.8	0.46	1.1	3.4	0.333	4.6	7.6	0.612	1.6	3.3	2.2	0.7	2.6	2.8	2.7	19.4
25	Metta World Peace	SF	36	79	260	947276	'05-'06	FALSE	SAC	40	40	40.1	6	15.8	0.383	1.5	5	0.302	3.3	4.6	0.717	1.2	4	4.2	0.8	2	3	2.2	16.9
25	Metta World Peace	SF	36	79	260	947276	'06-'07	FALSE	SAC	70	65	37.7	6.5	14.9	0.44	1.3	3.7	0.358	4.4	5.9	0.74	1.5	5	3.4	0.6	2.1	2.9	2.1	18.8
25	Metta World Peace	SF	36	79	260	947276	'07-'08	FALSE	SAC	57	54	38.1	7.6	16.9	0.453	1.5	3.9	0.38	3.7	5.2	0.719	1.8	4	3.5	0.7	2.3	2.8	2.6	20.5
25	Metta World Peace	SF	36	79	260	947276	'08-'09	FALSE	HOU	69	55	35.5	6	15	0.401	2.2	5.6	0.399	2.8	3.8	0.748	0.9	4.3	3.3	0.3	1.5	2.2	2	17.1
25	Metta World Peace	SF	36	79	260	947276	'09-'10	FALSE	LAL	77	77	33.8	4	9.6	0.414	1.4	3.8	0.355	1.7	2.4	0.688	1.3	3	3	0.3	1.4	2.1	1.6	11
25	Metta World Peace	SF	36	79	260	947276	'10-'11	FALSE	LAL	82	82	29.4	3.2	8	0.397	1	2.8	0.356	1.1	1.7	0.676	1.2	2	2.1	0.4	1.5	2.2	1.1	8.5
25	Metta World Peace	SF	36	79	260	947276	'11-'12	FALSE	LAL	64	45	26.9	2.9	7.3	0.394	0.9	3	0.296	1.1	1.8	0.617	1.1	2.3	2.2	0.4	1.1	2.1	1.1	7.7
25	Metta World Peace	SF	36	79	260	947276	'12-'13	FALSE	LAL	75	66	33.7	4.4	11	0.403	1.9	5.5	0.342	1.7	2.3	0.734	1.4	3.6	1.5	0.6	1.6	2.6	1.3	12.4
25	Metta World Peace	SF	36	79	260	947276	'13-'14	FALSE	NY	29	1	13.4	1.9	4.9	0.397	0.6	1.9	0.315	0.3	0.6	0.625	0.6	1.4	0.6	0.3	0.8	1.5	0.7	4.8
25	Metta World Peace	SF	36	79	260	947276	'15-'16	FALSE	LAL	35	5	16.9	1.6	5.1	0.311	0.7	2.4	0.31	1.1	1.6	0.702	0.5	2	0.8	0.3	0.6	1.9	0.4	5
25	Metta World Peace	SF	36	79	260	947276	Career	FALSE		966	838	32.4	4.8	11.6	0.415	1.2	3.5	0.34	2.7	3.7	0.716	1.2	3.4	2.7	0.5	1.8	2.7	1.8	13.5
25	Metta World Peace	SF	36	79	260	947276	'01-'02	TRUE	IND	5	5	33.4	4.4	10.8	0.407	1.2	2.6	0.462	1.8	2.6	0.692	1.2	4.8	Fantastic news! We've Found the answer you've been seeking! Answer rating: 62% (8 reviews) First subset the NBA data to include only career statistics Season Career for regular season Postsea...View the full answer Answered By Susan Juma I'm available and reachable 24/7. I have high experience in helping students with their assignments, proposals, and dissertations. Most importantly, I'm a professional accountant and I can handle all kinds of accounting and finance problems. 4.40+ 15+ Reviews 45+ Question Solved Related Book For   Business Analytics ISBN: 9781265897109 2nd Edition Authors: Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chen See More Books Question Posted: May 25, 2023 09:08 AM See More Questions Students also viewed these Business questions A researcher wanted to find out if there was difference between older movie goers and younger movie goers with respect to their estimates of a successful actors income. The researcher first... The 1991 accounting numbers for major league baseball are given in Table P-24. All figures are in millions of dollars. The numerical variables are GtReceit (Gate Receipts), MediaRev (Media Revenue),... The article "Estimating Resource Requirements at Conceptual Design Stage Using Neural Networks" (A. Elazouni, I. 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