Instructions are in the Homework7 fileDASC 512, Homework 7 Instructions: We will be using a rather...

Question

Instructions are in the Homework7 fileDASC 512, Homework 7 Instructions: We will be using a rather popular dataset for regression that is predicting the progression of diabetes. You will be responsible for a (no more than 2 pages) regression analysis. For a description of the data: Ten baseline variables, age, sex, body mass index, average blood pressure, and six blood serum measurements were obtained for each of n = 442 diabetes patients, as well as the response of interest, a quantitative measure of disease progression one year after baseline. 1. Data Preprocessing: Save the file ‘diabetes.txt’ in the same folder as your python script and run the following code to gather your data. We haven’t discussed it in class much, but it is useful to split your data (with large datasets) into a training and testing group. This will allow us to assess the usefulness of our model at prediction (specifically, we can see overfitting/underfitting). from patsy import dmatrices from sklearn.model_selection import train_test_split diabetes = pd.read_table(’diabetes.txt’, sep=’\s+’) y, X = dmatrices(’Y ~ AGE+C(SEX)+BMI+BP+S1+S2+S3+S4+S5+S6’, data=diabetes , return_type=’dataframe ’) X.columns = [’Intercept ’, ’SEX’, ’AGE’, ’BMI’, ’BP’, ’S1’, ’S2’, ’S3’, ’S4’, ’S5’, ’S6’] X_train , X_test , y_train , y_test = train_test_split( X, y, test_size =0.33, random_state =42) 2. Build a regression model predicting ‘y train’ by using ‘X train’. You may transform any variables and include any interactions or higher order terms you deam necessary. Include in your writeup the following:  Steps you took to create the model (feature selection),  Assessment of regression assumptions (tests and plots as required),  Remedial steps (if any) taken to create a valid model that passes assumption tests.  Overall assessment of your final model (Measures of usefulness, inference and interpretations of features, etc.) 3. Use the following function to calculate and report on your RMSE. RMSE is root mean square error of your model on your test set. RMSE = √√√√ n∑ i=1 (ŷi − yi)2 n The individual(s) with the lowest RMSE will get a bonus point. Remember that any transformation and additional terms for your ‘X train’ and ‘y train’ datasets need to be applied to their respective ‘test’ datasets in order for this code to work. def calculate_rmse(model ,X_test ,y_test ): ’’’ Function for calculating the rmse of a test set Parameters ---------- model : OLS model from Statsmodels (formula or regular) X_test : Test inputs (MUST MATCH MODEL INPUTS) y_test : Test outputs (MUST INCLUDE ANY TRANFORMATIONS TO MODEL OUTPUTS) Returns ------- Returns RMSE printed in the console ’’’ predicted = model.predict(X_test) from sklearn.metrics import mean_squared_error MSE = mean_squared_error(y_test ,predicted) rmse = np.sqrt(MSE) print(rmse) Grading: I will be grading you on the quality of your writing. This includes the effectiveness of your com- munication of your model building and assumption testing steps as well as your reporting on the usefulness of your model. Don’t spend a rediculous amount of time building your model (find a decent model and move on), while model quality is important, your effectiveness at communicating it is more important for this assignment. HW 7, DASC 512   AGE	SEX	BMI	BP	S1	S2	S3	S4	S5	S6	Y 59	2	32.1	101	157	93.2	38	4	4.8598	87	151 48	1	21.6	87	183	103.2	70	3	3.8918	69	75 72	2	30.5	93	156	93.6	41	4	4.6728	85	141 24	1	25.3	84	198	131.4	40	5	4.8903	89	206 50	1	23	101	192	125.4	52	4	4.2905	80	135 23	1	22.6	89	139	64.8	61	2	4.1897	68	97 36	2	22	90	160	99.6	50	3	3.9512	82	138 66	2	26.2	114	255	185	56	4.55	4.2485	92	63 60	2	32.1	83	179	119.4	42	4	4.4773	94	110 29	1	30	85	180	93.4	43	4	5.3845	88	310 22	1	18.6	97	114	57.6	46	2	3.9512	83	101 56	2	28	85	184	144.8	32	6	3.5835	77	69 53	1	23.7	92	186	109.2	62	3	4.3041	81	179 50	2	26.2	97	186	105.4	49	4	5.0626	88	185 61	1	24	91	202	115.4	72	3	4.2905	73	118 34	2	24.7	118	254	184.2	39	7	5.037	81	171 47	1	30.3	109	207	100.2	70	3	5.2149	98	166 68	2	27.5	111	214	147	39	5	4.9416	91	144 38	1	25.4	84	162	103	42	4	4.4427	87	97 41	1	24.7	83	187	108.2	60	3	4.5433	78	168 35	1	21.1	82	156	87.8	50	3	4.5109	95	68 25	2	24.3	95	162	98.6	54	3	3.8501	87	49 25	1	26	92	187	120.4	56	3	3.9703	88	68 61	2	32	103.67	210	85.2	35	6	6.107	124	245 31	1	29.7	88	167	103.4	48	4	4.3567	78	184 30	2	25.2	83	178	118.4	34	5	4.852	83	202 19	1	19.2	87	124	54	57	2	4.1744	90	137 42	1	31.9	83	158	87.6	53	3	4.4659	101	85 63	1	24.4	73	160	91.4	48	3	4.6347	78	131 67	2	25.8	113	158	54.2	64	2	5.2933	104	283 32	1	30.5	89	182	110.6	56	3	4.3438	89	129 42	1	20.3	71	161	81.2	66	2	4.2341	81	59 58	2	38	103	150	107.2	22	7	4.6444	98	341 57	1	21.7	94	157	58	82	2	4.4427	92	87 53	1	20.5	78	147	84.2	52	3	3.989	75	65 62	2	23.5	80.33	225	112.8	86	2.62	4.8752	96	102 52	1	28.5	110	195	97.2	60	3	5.2417	85	265 46	1	27.4	78	171	88	58	3	4.8283	90	276 48	2	33	123	253	163.6	44	6	5.425	97	252 48	2	27.7	73	191	119.4	46	4	4.852	92	90 50	2	25.6	101	229	162.2	43	5	4.7791	114	100 21	1	20.1	63	135	69	54	3	4.0943	89	55 32	2	25.4	90.33	153	100.4	34	4.5	4.5326	83	61 54	1	24.2	74	204	109	82	2	4.1744	109	92 61	2	32.7	97	177	118.4	29	6	4.9972	87	259 56	2	23.1	104	181	116.4	47	4	4.4773	79	53 33	1	25.3	85	155	85	51	3	4.5539	70	190 27	1	19.6	78	128	68	43	3	4.4427	71	142 67	2	22.5	98	191	119.2	61	3	3.989	86	75 37	2	27.7	93	180	119.4	30	6	5.0304	88	142 58	1	25.7	99	157	91.6	49	3	4.4067	93	155 65	2	27.9	103	159	96.8	42	4	4.6151	86	225 34	1	25.5	93	218	144	57	4	4.4427	88	59 46	1	24.9	115	198	129.6	54	4	4.2767	103	104 35	1	28.7	97	204	126.8	64	3	4.1897	93	182 37	1	21.8	84	184	101	73	3	3.912	93	128 37	1	30.2	87	166	96	40	4.15	5.0106	87	52 41	1	20.5	80	124	48.8	64	2	4.0254	75	37 60	1	20.4	105	198	78.4	99	2	4.6347	79	170 66	2	24	98	236	146.4	58	4	5.0626	96	170 29	1	26	83	141	65.2	64	2	4.0775	83	61 37	2	26.8	79	157	98	28	6	5.0434	96	144 41	2	25.7	83	181	106.6	66	3	3.7377	85	52 39	1	22.9	77	204	143.2	46	4	4.3041	74	128 67	2	24	83	143	77.2	49	3	4.4308	94	71 36	2	24.1	112	193	125	35	6	5.1059	95	163 46	2	24.7	85	174	123.2	30	6	4.6444	96	150 60	2	25	89.67	185	120.8	46	4.02	4.5109	92	97 59	2	23.6	83	165	100	47	4	4.4998	92	160 53	1	22.1	93	134	76.2	46	3	4.0775	96	178 48	1	19.9	91	189	109.6	69	3	3.9512	101	48 48	1	29.5	131	207	132.2	47	4	4.9345	106	270 66	2	26	91	264	146.6	65	4	5.5683	87	202 52	2	24.5	94	217	149.4	48	5	4.585	89	111 52	2	26.6	111	209	126.4	61	3	4.6821	109	85 46	2	23.5	87	181	114.8	44	4	4.7095	98	42 40	2	29	115	97	47.2	35	2.77	4.3041	95	170 22	1	23	73	161	97.8	54	3	3.8286	91	200 50	1	21	88	140	71.8	35	4	5.112	71	252 20	1	22.9	87	191	128.2	53	4	3.8918	85	113 68	1	27.5	107	241	149.6	64	4	4.92	90	143 52	2	24.3	86	197	133.6	44	5	4.5747	91	51 44	1	23.1	87	213	126.4	77	3	3.8712	72	52 38	1	27.3	81	146	81.6	47	3	4.4659	81	210 49	1	22.7	65.33	168	96.2	62	2.71	3.8918	60	65 61	1	33	95	182	114.8	54	3	4.1897	74	141 29	2	19.4	83	152	105.8	39	4	3.5835	83	55 61	1	25.8	98	235	125.8	76	3	5.112	82	134 34	2	22.6	75	166	91.8	60	3	4.2627	108	42 36	1	21.9	89	189	105.2	68	3	4.3694	96	111 52	1	24	83	167	86.6	71	2	3.8501	94	98 61	1	31.2	79	235	156.8	47	5	5.0499	96	164 43	1	26.8	123	193	102.2	67	3	4.7791	94	48 35	1	20.4	65	187	105.6	67	2.79	4.2767	78	96 27	1	24.8	91	189	106.8	69	3	4.1897	69	90 29	1	21	71	156	97	38	4	4.654	90	162 64	2	27.3	109	186	107.6	38	5	5.3083	99	150 41	1	34.6	87.33	205	142.6	41	5	4.6728	110	279 49	2	25.9	91	178	106.6	52	3	4.5747	75	92 48	1	20.4	98	209	139.4	46	5	4.7707	78	83 53	1	28	88	233	143.8	58	4	5.0499	91	128 53	2	22.2	113	197	115.2	67	3	4.3041	100	102 23	1	29	90	216	131.4	65	3	4.585	91	302 65	2	30.2	98	219	160.6	40	5	4.5218	84	198 41	1	32.4	94	171	104.4	56	3	3.9703	76	95 55	2	23.4	83	166	101.6	46	4	4.5218	96	53 22	1	19.3	82	156	93.2	52	3	3.989	71	134 56	1	31	78.67	187	141.4	34	5.5	4.0604	90	144 54	2	30.6	103.33	144	79.8	30	4.8	5.1417	101	232 59	2	25.5	95.33	190	139.4	35	5.43	4.3567	117	81 60	2	23.4	88	153	89.8	58	3	3.2581	95	104 54	1	26.8	87	206	122	68	3	4.382	80	59 25	1	28.3	87	193	128	49	4	4.382	92	246 54	2	27.7	113	200	128.4	37	5	5.1533	113	297 55	1	36.6	113	199	94.4	43	4.63	5.7301	97	258 40	2	26.5	93	236	147	37	7	5.5607	92	229 62	2	31.8	115	199	128.6	44	5	4.8828	98	275 65	1	24.4	120	222	135.6	37	6	5.5094	124	281 33	2	25.4	102	206	141	39	5	4.8675	105	179 53	1	22	94	175	88	59	3	4.9416	98	200 35	1	26.8	98	162	103.6	45	4	4.2047	86	200 66	1	28	101	195	129.2	40	5	4.8598	94	173 62	2	33.9	101	221	156.4	35	6	4.9972	103	180 50	2	29.6	94.33	300	242.4	33	9.09	4.8122	109	84 47	1	28.6	97	164	90.6	56	3	4.4659	88	121 47	2	25.6	94	165	74.8	40	4	5.5255	93	161 24	1	20.7	87	149	80.6	61	2	3.6109	78	99 58	2	26.2	91	217	124.2	71	3	4.6913	68	109 34	1	20.6	87	185	112.2	58	3	4.3041	74	115 51	1	27.9	96	196	122.2	42	5	5.0689	120	268 31	2	35.3	125	187	112.4	48	4	4.8903	109	274 22	1	19.9	75	175	108.6	54	3	4.1271	72	158 53	2	24.4	92	214	146	50	4	4.4998	97	107 37	2	21.4	83	128	69.6	49	3	3.8501	84	83 28	1	30.4	85	198	115.6	67	3	4.3438	80	103 47	1	31.6	84	154	88	30	5.1	5.1985	105	272 23	1	18.8	78	145	72	63	2	3.912	86	85 50	1	31	123	178	105	48	4	4.8283	88	280 58	2	36.7	117	166	93.8	44	4	4.9488	109	336 55	1	32.1	110	164	84.2	42	4	5.2417	90	281 60	2	27.7	107	167	114.6	38	4	4.2767	95	118 41	1	30.8	81	214	152	28	7.6	5.1358	123	317 60	2	27.5	106	229	143.8	51	4	5.1417	91	235 40	1	26.9	92	203	119.8	70	3	4.1897	81	60 57	2	30.7	90	204	147.8	34	6	4.7095	93	174 37	1	38.3	113	165	94.6	53	3	4.4659	79	259 40	2	31.9	95	198	135.6	38	5	4.804	93	178 33	1	35	89	200	130.4	42	4.76	4.9273	101	128 32	2	27.8	89	216	146.2	55	4	4.3041	91	96 35	2	25.9	81	174	102.4	31	6	5.3132	82	126 55	1	32.9	102	164	106.2	41	4	4.4308	89	288 49	1	26	93	183	100.2	64	3	4.5433	88	88 39	2	26.3	115	218	158.2	32	7	4.9345	109	292 60	2	22.3	113	186	125.8	46	4	4.2627	94	71 67	2	28.3	93	204	132.2	49	4	4.7362	92	197 41	2	32	109	251	170.6	49	5	5.0562	103	186 44	1	25.4	95	162	92.6	53	3	4.4067	83	25 48	2	23.3	89.33	212	142.8	46	4.61	4.7536	98	84 45	1	20.3	74.33	190	126.2	49	3.88	4.3041	79	96 47	1	30.4	120	199	120	46	4	5.1059	87	195 46	1	20.6	73	172	107	51	3	4.2485	80	53 36	2	32.3	115	286	199.4	39	7	5.4723	112	217 34	1	29.2	73	172	108.2	49	4	4.3041	91	172 53	2	33.1	117	183	119	48	4	4.382	106	131 61	1	24.6	101	209	106.8	77	3	4.8363	88	214 37	1	20.2	81	162	87.8	63	3	4.0254	88	59 33	2	20.8	84	125	70.2	46	3	3.7842	66	70 68	1	32.8	105.67	205	116.4	40	5.13	5.4931	117	220 49	2	31.9	94	234	155.8	34	7	5.3982	122	268 48	1	23.9	109	232	105.2	37	6	6.107	96	152 55	2	24.5	84	179	105.8	66	3	3.5835	87	47 43	1	22.1	66	134	77.2	45	3	4.0775	80	74 60	2	33	97	217	125.6	45	5	5.4467	112	295 31	2	19	93	137	73	47	3	4.4427	78	101 53	2	27.3	82	119	55	39	3	4.8283	93	151 67	1	22.8	87	166	98.6	52	3	4.3438	92	127 61	2	28.2	106	204	132	52	4	4.6052	96	237 62	1	28.9	87.33	206	127.2	33	6.24	5.4337	99	225 60	1	25.6	87	207	125.8	69	3	4.1109	84	81 42	1	24.9	91	204	141.8	38	5	4.7958	89	151 38	2	26.8	105	181	119.2	37	5	4.8203	91	107 62	1	22.4	79	222	147.4	59	4	4.3567	76	64 61	2	26.9	111	236	172.4	39	6	4.8122	89	138 61	2	23.1	113	186	114.4	47	4	4.8122	105	185 53	1	28.6	88	171	98.8	41	4	5.0499	99	265 28	2	24.7	97	175	99.6	32	5	5.3799	87	101 26	2	30.3	89	218	152.2	31	7	5.1591	82	137 30	1	21.3	87	134	63	63	2	3.6889	66	143 50	1	26.1	109	243	160.6	62	4	4.625	89	141 48	1	20.2	95	187	117.4	53	4	4.4188	85	79 51	1	25.2	103	176	112.2	37	5	4.8978	90	292 47	2	22.5	82	131	66.8	41	3	4.7536	89	178 64	2	23.5	97	203	129	59	3	4.3175	77	91 51	2	25.9	76	240	169	39	6	5.0752	96	116 30	1	20.9	104	152	83.8	47	3	4.6634	97	86 56	2	28.7	99	208	146.4	39	5	4.7274	97	122 42	1	22.1	85	213	138.6	60	4	4.2767	94	72 62	2	26.7	115	183	124	35	5	4.7875	100	129 34	1	31.4	87	149	93.8	46	3	3.8286	77	142 60	1	22.2	104.67	221	105.4	60	3.68	5.6276	93	90 64	1	21	92.33	227	146.8	65	3.49	4.3307	102	158 39	2	21.2	90	182	110.4	60	3	4.0604	98	39 71	2	26.5	105	281	173.6	55	5	5.5683	84	196 48	2	29.2	110	218	151.6	39	6	4.92	98	222 79	2	27	103	169	110.8	37	5	4.6634	110	277 40	1	30.7	99	177	85.4	50	4	5.3375	85	99 49	2	28.8	92	207	140	44	5	4.7449	92	196 51	1	30.6	103	198	106.6	57	3	5.1475	100	202 57	1	30.1	117	202	139.6	42	5	4.625	120	155 59	2	24.7	114	152	104.8	29	5	4.5109	88	77 51	1	27.7	99	229	145.6	69	3	4.2767	77	191 74	1	29.8	101	171	104.8	50	3	4.3944	86	70 67	1	26.7	105	225	135.4	69	3	4.6347	96	73 49	1	19.8	88	188	114.8	57	3	4.3944	93	49 57	1	23.3	88	155	63.6	78	2	4.2047	78	65 56	2	35.1	123	164	95	38	4	5.0434	117	263 52	2	29.7	109	228	162.8	31	8	5.1417	103	248 69	1	29.3	124	223	139	54	4	5.0106	102	296 37	1	20.3	83	185	124.6	38	5	4.7185	88	214 24	1	22.5	89	141	68	52	3	4.654	84	185 55	2	22.7	93	154	94.2	53	3	3.5264	75	78 36	1	22.8	87	178	116	41	4	4.654	82	93 42	2	24	107	150	85	44	3	4.654	96	252 21	1	24.2	76	147	77	53	3	4.4427	79	150 41	1	20.2	62	153	89	50	3	4.2485	89	77 57	2	29.4	109	160	87.6	31	5	5.3327	92	208 20	2	22.1	87	171	99.6	58	3	4.2047	78	77 67	2	23.6	111.33	189	105.4	70	2.7	4.2195	93	108 34	1	25.2	77	189	120.6	53	4	4.3438	79	160 41	2	24.9	86	192	115	61	3	4.382	94	53 38	2	33	78	301	215	50	6.02	5.193	108	220 51	1	23.5	101	195	121	51	4	4.7449	94	154 52	2	26.4	91.33	218	152	39	5.59	4.9053	99	259 67	1	29.8	80	172	93.4	63	3	4.3567	82	90 61	1	30	108	194	100	52	3.73	5.3471	105	246 67	2	25	111.67	146	93.4	33	4.42	4.585	103	124 56	1	27	105	247	160.6	54	5	5.0876	94	67 64	1	20	74.67	189	114.8	62	3.05	4.1109	91	72 58	2	25.5	112	163	110.6	29	6	4.7622	86	257 55	1	28.2	91	250	140.2	67	4	5.366	103	262 62	2	33.3	114	182	114	38	5	5.0106	96	275 57	2	25.6	96	200	133	52	3.85	4.3175	105	177 20	2	24.2	88	126	72.2	45	3	3.7842	74	71 53	2	22.1	98	165	105.2	47	4	4.1589	81	47 32	2	31.4	89	153	84.2	56	3	4.1589	90	187 41	1	23.1	86	148	78	58	3	4.0943	60	125 60	1	23.4	76.67	247	148	65	3.8	5.1358	77	78 26	1	18.8	83	191	103.6	69	3	4.5218	69	51 37	1	30.8	112	282	197.2	43	7	5.3423	101	258 45	1	32	110	224	134.2	45	5	5.4116	93	215 67	1	31.6	116	179	90.4	41	4	5.4723	100	303 34	2	35.5	120	233	146.6	34	7	5.5683	101	243 50	1	31.9	78.33	207	149.2	38	5.45	4.5951	84	91 71	1	29.5	97	227	151.6	45	5	5.0239	108	150 57	2	31.6	117	225	107.6	40	6	5.9584	113	310 49	1	20.3	93	184	103	61	3	4.6052	93	153 35	1	41.3	81	168	102.8	37	5	4.9488	94	346 41	2	21.2	102	184	100.4	64	3	4.585	79	63 70	2	24.1	82.33	194	149.2	31	6.26	4.2341	105	89 52	1	23	107	179	123.7	42.5	4.21	4.1589	93	50 60	1	25.6	78	195	95.4	91	2	3.7612	87	39 62	1	22.5	125	215	99	98	2	4.4998	95	103 44	2	38.2	123	201	126.6	44	5	5.0239	92	308 28	2	19.2	81	155	94.6	51	3	3.8501	87	116 58	2	29	85	156	109.2	36	4	3.989	86	145 39	2	24	89.67	190	113.6	52	3.65	4.804	101	74 34	2	20.6	98	183	92	83	2	3.6889	92	45 65	1	26.3	70	244	166.2	51	5	4.8978	98	115 66	2	34.6	115	204	139.4	36	6	4.9628	109	264 51	1	23.4	87	220	108.8	93	2	4.5109	82	87 50	2	29.2	119	162	85.2	54	3	4.7362	95	202 59	2	27.2	107	158	102	39	4	4.4427	93	127 52	1	27	78.33	134	73	44	3.05	4.4427	69	182 69	2	24.5	108	243	136.4	40	6	5.8081	100	241 53	1	24.1	105	184	113.4	46	4	4.8122	95	66 47	2	25.3	98	173	105.6	44	4	4.7622	108	94 52	1	28.8	113	280	174	67	4	5.273	86	283 39	1	20.9	95	150	65.6	68	2	4.4067	95	64 67	2	23	70	184	128	35	5	4.654	99	102 59	2	24.1	96	170	98.6	54	3	4.4659	85	200 51	2	28.1	106	202	122.2	55	4	4.8203	87	265 23	2	18	78	171	96	48	4	4.9053	92	94 68	1	25.9	93	253	181.2	53	5	4.5433	98	230 44	1	21.5	85	157	92.2	55	3	3.8918	84	181 60	2	24.3	103	141	86.6	33	4	4.6728	78	156 52	1	24.5	90	198	129	29	7	5.2983	86	233 38	1	21.3	72	165	60.2	88	2	4.4308	90	60 61	1	25.8	90	280	195.4	55	5	4.9972	90	219 68	2	24.8	101	221	151.4	60	4	3.8712	87	80 28	2	31.5	83	228	149.4	38	6	5.3132	83	68 65	2	33.5	102	190	126.2	35	5	4.9698	102	332 69	1	28.1	113	234	142.8	52	4	5.2781	77	248 51	1	24.3	85.33	153	71.6	71	2.15	3.9512	82	84 29	1	35	98.33	204	142.6	50	4.08	4.0431	91	200 55	2	23.5	93	177	126.8	41	4	3.8286	83	55 34	2	30	83	185	107.2	53	3	4.8203	92	85 67	1	20.7	83	170	99.8	59	3	4.0254	77	89 49	1	25.6	76	161	99.8	51	3	3.9318	78	31 55	2	22.9	81	123	67.2	41	3	4.3041	88	129 59	2	25.1	90	163	101.4	46	4	4.3567	91	83 53	1	33.2	82.67	186	106.8	46	4.04	5.112	102	275 48	2	24.1	110	209	134.6	58	4	4.4067	100	65 52	1	29.5	104.33	211	132.8	49	4.31	4.9836	98	198 69	1	29.6	122	231	128.4	56	4	5.451	86	236 60	2	22.8	110	245	189.8	39	6	4.3944	88	253 46	2	22.7	83	183	125.8	32	6	4.8363	75	124 51	2	26.2	101	161	99.6	48	3	4.2047	88	44 67	2	23.5	96	207	138.2	42	5	4.8978	111	172 49	1	22.1	85	136	63.4	62	2.19	3.9703	72	114 46	2	26.5	94	247	160.2	59	4	4.9345	111	142 47	1	32.4	105	188	125	46	4.09	4.4427	99	109 75	1	30.1	78	222	154.2	44	5.05	4.7791	97	180 28	1	24.2	93	174	106.4	54	3	4.2195	84	144 65	2	31.3	110	213	128	47	5	5.247	91	163 42	1	30.1	91	182	114.8	49	4	4.5109	82	147 51	1	24.5	79	212	128.6	65	3	4.5218	91	97 53	2	27.7	95	190	101.8	41	5	5.4638	101	220 54	1	23.2	110.67	238	162.8	48	4.96	4.9127	108	190 73	1	27	102	211	121	67	3	4.7449	99	109 54	1	26.8	108	176	80.6	67	3	4.9558	106	191 42	1	29.2	93	249	174.2	45	6	5.0039	92	122 75	1	31.2	117.67	229	138.8	29	7.9	5.7236	106	230 55	2	32.1	112.67	207	92.4	25	8.28	6.1048	111	242 68	2	25.7	109	233	112.6	35	7	6.0568	105	248 57	1	26.9	98	246	165.2	38	7	5.366	96	249 48	1	31.4	75.33	242	151.6	38	6.37	5.5683	103	192 61	2	25.6	85	184	116.2	39	5	4.9698	98	131 69	1	37	103	207	131.4	55	4	4.6347	90	237 38	1	32.6	77	168	100.6	47	4	4.625	96	78 45	2	21.2	94	169	96.8	55	3	4.4543	102	135 51	2	29.2	107	187	139	32	6	4.382	95	244 71	2	24	84	138	85.8	39	4	4.1897	90	199 57	1	36.1	117	181	108.2	34	5	5.2679	100	270 56	2	25.8	103	177	114.4	34	5	4.9628	99	164 32	2	22	88	137	78.6	48	3	3.9512	78	72 50	1	21.9	91	190	111.2	67	3	4.0775	77	96 43	1	34.3	84	256	172.6	33	8	5.5294	104	306 54	2	25.2	115	181	120	39	5	4.7005	92	91 31	1	23.3	85	190	130.8	43	4	4.3944	77	214 56	1	25.7	80	244	151.6	59	4	5.118	95	95 44	1	25.1	133	182	113	55	3	4.2485	84	216 57	2	31.9	111	173	116.2	41	4	4.3694	87	263 64	2	28.4	111	184	127	41	4	4.382	97	178 43	1	28.1	121	192	121	60	3	4.0073	93	113 19	1	25.3	83	225	156.6	46	5	4.7185	84	200 71	2	26.1	85	220	152.4	47	5	4.6347	91	139 50	2	28	104	282	196.8	44	6	5.3279	95	139 59	2	23.6	73	180	107.4	51	4	4.6821	84	88 57	1	24.5	93	186	96.6	71	3	4.5218	91	148 49	2	21	82	119	85.4	23	5	3.9703	74	88 41	2	32	126	198	104.2	49	4	5.4116	124	243 25	2	22.6	85	130	71	48	3	4.0073	81	71 52	2	19.7	81	152	53.4	82	2	4.4188	82	77 34	1	21.2	84	254	113.4	52	5	6.0936	92	109 42	2	30.6	101	269	172.2	50	5	5.4553	106	272 28	2	25.5	99	162	101.6	46	4	4.2767	94	60 47	2	23.3	90	195	125.8	54	4	4.3307	73	54 32	2	31	100	177	96.2	45	4	5.1874	77	221 43	1	18.5	87	163	93.6	61	2.67	3.7377	80	90 59	2	26.9	104	194	126.6	43	5	4.804	106	311 53	1	28.3	101	179	107	48	4	4.7875	101	281 60	1	25.7	103	158	84.6	64	2	3.8501	97	182 54	2	36.1	115	163	98.4	43	4	4.6821	101	321 35	2	24.1	94.67	155	97.4	32	4.84	4.852	94	58 49	2	25.8	89	182	118.6	39	5	4.804	115	262 58	1	22.8	91	196	118.8	48	4	4.9836	115	206 36	2	39.1	90	219	135.8	38	6	5

Pritam Kumar · Accepted Answer

diabetes analysis answer

DASC 512, Homework 7 Instructions: We will be using a rather popular dataset for regression that is predicting the progression of diabetes. You will be responsible for a (no more than 2 pages)...

Answer To: DASC 512, Homework 7 Instructions: We will be using a rather popular dataset for regression that is...

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