answer questionsExam 3 (submit by Dec 1, 11:59 pm EST on Classes as a single PDF file) Instruction:...

Question

answer questionsExam 3 (submit by Dec 1, 11:59 pm EST on Classes as a single PDF file) Instruction: This is the third of the 4 exams in BMB 620. Complete the following questions in RMarkdown and submitted the generated PDF on Classes by the deadline. Make sure to show both the input and output. 1. Download the "leukemia_remission.txt" data from Classes. The data contain information on 27 leukemia patients. The response variable is whether leukemia remission has occurred (REMISS: 1=remiss; 0=no remiss). The predictors are cellularity of the marrow clot section (CELL), smear differential percentage of blasts (SMEAR), percentage of absolute marrow leukemia cell infiltrate (INFIL), percentage labeling index of the bone marrow leukemia cells (LI), absolute number of blasts in the peripheral blood (BLAST), and the highest temperature prior to start of treatment (TEMP). a. Draw a scatterplot showing the relationship between the response and one of the predictors. Interpret the plot. b. Fit a logistic regression with REMISS as the response. Interpret the result. c. Convert the model coefficients to probability of remiss. Interpret the result. d. Use predict() to find the predicted probability of remiss using a new data set. e. Build another logistic regression with different predictors. Compare the models in b and e. f. Check the assumptions of your model in b. 2. Download the "CivilInjury_0.csv" data from Classes. The data contain the number of injuries during a fire in a day. a. Extract the year and month from the `Injury Date` variable. b. Count the number of injuries within each month of each year. c. Fit a Poisson regression with the number of injuries within a month of each year as the response. Interpret the result. d. Check the assumptions of your model in c. 3. We want to randomly sample male and female college undergraduate students and ask them if they consume alcohol at least once a week. Our null hypothesis is no difference in the proportion. Our alternative hypothesis is that there is a difference. This is a two-sided alternative; one gender has higher proportion but we don't know which.  a. We would like to detect a difference as small as 5%. How many students do we need to sample in each group if we want 80% power and a significance level of 0.05? b. It turns out we were able to survey 543 males and 675 females. Find the power of our test if we're interested in being able to detect a “small” effect size with 0.05 significance. c. Let's say we previously surveyed 763 female undergraduates and found that p% said they consumed alcohol once a week. We would like to survey some males and see if a significantly different proportion respond yes. How many do I need to sample to detect a small effect size (0.2) in either direction with 80% power and a significance level of 0.05? 4. Download the "USHospitals.txt" data from Classes. The data list outcome data on US hospitals, as reported by Medicare. In addition to the Provider variable (hospital id), there are 16 variables measured. The information of the 16 variables is below: a. Use pairs() function to make pair-wise scatterplots between all 16 variables. b. Prepare the data for a principal component analysis (PCA). c. Determine the number of components needed in your PCA. d. Perform a PCA on the data. Extract the results and interpret the components. e. Rotate the principal components and interpret the result. 5. Download the "hemangioma.txt" data from Classes. The data contain information on infants who were surgically treated for hemangioma. Hemangioma is the most common of all childhood cancer diagnoses. It appears as a lump of blood vessels on the skin. If left untreated it usually resolves within a few years. Some parents opt for surgical removal. Age (in days) and expression of genetic markers are given in the data. a. Determine the number of factors in your exploratory factor analysis (EFA). b. Perform a EFA on the data. c. Rotate the factors and interpret the result.   Age	RB	p16	DLK	Nanog	C-Myc	EZH2	IGF-2 81	2.0461493	3.0671272	308974.72	94.17336	6.4896007	2.7641008	11175.689 95	6.54	1.9	70988.3	381.83	1	7.09	5340.17 95	3.61	3.82	153060.6	237.28	0	5.57	6310.24 165	1.9122666	3.735868	596991.6	88.237366	0	2.4696326	7008.523 286	2.6254363	5.1682935	369600.56	282.29727	12.225828	1.628923	7104.238 299	2.8707602	5.7552457	1119257.5	176.75143	8.764235	3.511469	9342.126 380	1.9259777	2.3968298	214070.92	45.266922	5.7589145	1.4111804	3725.5146 418	7.06	3.38	69511.45	264.62	1.17	3.07	8038.53 420	6.39	3.37	81457.12	658.75	1.88	3.87	12583.25 547	6.36	4.05	64348.36	336.11	0.78	4.76	6505.15 590	1.8137581	5.147162	164881.06	2012.4792	35.645386	9.448814	32721.809 635	6.7	2.67	126015.95	3072.5	0	4.35	11762.76 752	1.8453689	3.2752457	567857.56	127.30637	4.129052	1.0045052	10283.141 760	7.33	0.92	43438.04	697.57	1.77	3.32	11517.89 1171	1.8288677	6.5563745	716259.5	392.0876	12.917779	2.904105	13263.792 1277	1.34	0.05	94.47	14.96	0.36	3.83	29.93 1520	4.02	2.79	31124.69	453.72	0.62	2.33	1162.69 2138	0.5	0	2330.59	33.11	0.03	0.17	66.49 3626	4.1835833	4.236695	560208.3	339.9309	5.432815	1.3565887	21173.781   Provider	SDeathN	SDeathR	LungN	LungR	ClotN	ClotR	SplitN	SplitR	CutsN	CutsR	HADeathR	HADeathN	HFDeathR	HFDeathN	PDeathR	PDeathN 10001	157	140.58	15149	0.32	4941	1.47	393	0.9	15820	3.28	15	669	11.8	751	12.7	339 10005	29	123.92	4467	0.3	689	4.7	102	0.69	4584	1.5	17.3	35	14.7	213	15.9	339 10006	110	146.33	9962	0.5	2805	3.22	234	1.21	10577	3.09	18.6	307	12.6	563	15	785 10007	10	NA	2176	0.3	173	6.11	35	0.85	2220	1.74	NA	16	14.4	101	16.1	211 10008	NA	NA	673	0.33	28	4.52	NA	NA	707	1.9	NA	5	13.5	51	15.6	60 10011	173	143.09	10726	0.5	3776	4.58	340	1.55	11212	2.42	16.3	238	10.8	317	17.3	482 10012	25	124.21	3238	0.33	753	2.5	69	1.85	3360	2.12	16.2	100	16.4	134	15.8	243 10016	91	145.74	6551	0.21	2239	3.98	255	0.49	6907	2.03	14	213	13.2	257	13.1	318 10018	3	NA	93	0.34	73	4.36	NA	NA	93	1.98	NA	NA	NA	NA	NA	NA 10019	79	122.64	5638	0.27	1535	6.01	214	0.54	5728	2.51	17.2	70	11	277	15.3	331 10021	8	NA	1559	0.27	166	5.95	16	NA	1618	1.98	16.8	31	11.7	61	11.3	136 10022	NA	NA	1116	0.32	68	4.43	17	NA	1137	1.68	NA	8	11.6	56	13.6	101 10023	170	155.29	11283	0.24	4551	2.59	413	0.91	11648	2.02	18.2	307	10.8	404	14.1	184 10024	95	124.56	9776	0.26	2888	2.12	237	0.5	10061	2.19	17.3	225	10.4	457	15.7	320 10025	11	NA	2544	0.26	333	2.31	78	3.75	2717	1.93	14	72	9.9	165	11.4	117 10027	NA	NA	575	0.34	NA	NA	NA	NA	594	1.95	NA	3	NA	23	11.8	67 10029	145	141.06	11112	0.33	4139	2.39	362	1.55	11457	2.58	17.1	275	11.8	632	12.8	257 10032	NA	NA	695	0.32	3	NA	NA	NA	788	1.9	NA	12	11.8	49	13.7	103 10033	594	157.99	24057	0.71	10804	5.36	1617	0.4	26364	2.11	15.7	214	11.5	408	12.5	384 10034	7	NA	1450	0.3	103	4.11	21	NA	1596	1.98	NA	22	12.4	96	11.4	91 10035	54	165.41	6191	0.25	1550	2.81	173	0.58	6302	1.74	15.9	116	13.4	399	11.6	419 10036	19	NA	3265	0.27	540	5.08	75	0.76	3342	1.87	NA	16	11.7	150	11.4	238 10038	34	115.7	4672	0.35	1008	4.62	118	0.67	4882	1.98	16.5	67	12	194	11.8	215 10039	391	133.14	28969	0.24	10905	3.58	979	1.3	29981	1.89	15.4	1044	12.2	1414	12.9	910 10040	193	105.05	8787	0.66	2699	4.71	257	1.04	9063	1.71	16.7	218	11.2	365	15.5	408 10043	NA	NA	528	0.32	NA	NA	NA	NA	543	1.94	NA	2	11.3	30	12.6	52 10044	NA	NA	1065	0.32	35	4.51	16	NA	1107	2.13	NA	8	11.6	57	8.4	163 10045	6	NA	1398	0.31	51	5.73	23	NA	1442	2	16.7	28	12.5	101	12.9	163 10046	108	123.37	8002	0.16	1795	3.85	170	0.56	8381	0.76	16.6	129	11.5	372	13.7	345 10047	NA	NA	1520	0.32	NA	NA	NA	NA	1583	1.81	15.2	31	12.4	64	11.8	98 10049	6	NA	3465	0.37	575	3.97	98	0.79	3548	2.4	16.6	36	14.1	141	12.8	180 10050	NA	NA	1279	0.31	64	4.44	5	NA	1311	1.71	NA	19	12.4	58	16.6	135 10051	NA	NA	612	0.34	NA	NA	NA	NA	616	1.98	NA	1	11.2	34	11.6	34 10052	NA	NA	965	0.33	NA	NA	NA	NA	992	1.88	NA	6	10.7	37	9.8	87 10054	19	NA	3304	0.35	372	5.77	84	0.76	3403	2.18	16	33	11.2	189	12.8	210 10055	97	144.56	9736	0.23	3679	3.1	315	0.46	10048	1.85	13.4	320	12.7	500	11.1	437 10056	227	133.44	16369	0.49	6938	5.43	555	0.34	16407	2	15.3	268	11.1	477	12.8	515 10058	NA	NA	269	0.34	NA	NA	NA	NA	287	2.01	NA	2	NA	21	13.9	52 10059	NA	NA	1876	0.42	11	NA	NA	NA	1935	1.73	NA	22	10	75	9.6	141 10061	18	NA	3883	0.28	273	7.01	33	2.03	3981	1.9	14.6	26	13.2	127	12.5	361 10062	5	NA	1642	0.31	94	4.28	27	0.87	1742	1.49	NA	17	13.8	100	14	194 10065	35	92.86	3068	0.43	659	5	86	1.75	3155	3.72	17.2	72	12.3	157	16.2	187 10066	NA	NA	571	0.32	3	NA	NA	NA	576	1.94	NA	1	10.2	41	10.9	79 10069	NA	NA	1469	0.32	65	4.39	28	0.88	1494	1.61	NA	10	14.9	98	15.8	123 10073	NA	NA	1249	0.32	11	NA	6	NA	1269	1.8	NA	21	14.3	66	12.4	115 10078	155	132.64	9964	0.24	3286	4.89	313	3.22	10694	3.48	16.2	438	10.9	603	13.6	398 10079	15	NA	3284	0.33	381	6.84	74	0.76	3404	2.15	14.7	33	10.8	181	11.6	231 10083	44	115.25	4869	0.44	922	2.86	165	1.34	4993	2.07	15.9	70	14.3	284	10.5	264 10085	86	115.24	6444	0.36	1490	3.2	241	0.49	6736	2.51	15.6	68	12.8	394	12.9	346 10086	13	NA	2423	0.29	362	5.1	53	0.76	2637	1.48	14.1	28	11.5	83	13.3	246 10087	46	176.12	2210	0.63	902	6.26	142	0.6	2403	2.77	NA	10	NA	22	NA	22 10089	27	115.6	4605	0.21	1042	2.48	53	0.77	4525	1.16	16	66	11.1	224	11.2	276 10090	117	138.33	9259	0.44	3465	5.93	297	1.09	9632	2.74	15.7	202	13.5	488	11.4	483 10091	NA	NA	645	0.33	14	NA	4	NA	663	1.88	NA	4	10.5	54	11.5	45 10092	399	117.05	21658	0.38	5586	6.16	667	0.99	23084	1.31	14.7	398	12.6	883	12	790 10095	NA	NA	583	0.33	NA	NA	NA	NA	590	1.97	NA	7	10.2	39	11.2	29 10097	NA	NA	1381	0.31	NA	NA	NA	NA	1414	1.88	NA	16	11	37	11.7	70 10099	8	NA	2186	0.3	129	5.18	60	1.94	2227	3.2	15.9	28	13.8	101	13.3	168 10100	73	146.15	5702	0.33	2481	4.31	179	0.57	6346	3.38	16.8	170	13.6	299	13.9	185 10101	10	NA	2266	0.28	208	5.88	57	0.72	2306	2.15	16.8	35	15.6	119	11.1	105 10102	NA	NA	259	0.34	NA	NA	NA	NA	272	2.01	NA	2	NA	15	11.3	39 10103	259	124.73	11258	0.46	4487	4	496	0.8	12366	2.73	14.7	307	12.2	366	13.6	324 10104	219	138.31	10302	0.33	4083	5.81	437	0.36	10809	3.3	16	297	12.4	330	15.3	278 10108	7	NA	1759	0.3	87	4.06	35	0.8	1822	3.23	14	31	11.6	121	14.4	180 10109	4	NA	1321	0.31	65	4.17	26	0.88	1355	1.59	NA	11	14.6	60	12.6	152 10110	NA	NA	962	0.33	NA	NA	NA	NA	978	1.94	NA	3	12.2	38	12.4	27 10112	NA	NA	2708	0.3	207	3.74	18	NA	2751	1.49	NA	21	9.7	108	8.5	126 10113	269	163.02	21351	0.43	7200	9.17	866	0.53	22242	1.19	18.2	256	11.8	748	14.2	580 10114	63	155.25	4713	0.57	1013	4.06	171	0.58	4974	4.42	14.4	102	11.2	199	11.6	205 10118	67	110.13	5958	0.44	1039	6.39	122	0.68	6165	1.65	15.3	129	11.1	316	14.1	227 10120	3	NA	1578	0.43	41	4.52	21	NA	1624	2.43	NA	23	13.3	85	14.8	172 10125	3	NA	1968	0.31	65	5.76	23	NA	2046	1.97	NA	14	13.5	110	11.6	322 10126	9	NA	1784	0.3	155	3.89	31	0.84	1823	1.48	NA	19	10.3	83	11.9	120 10128	NA	NA	718	0.33	7	NA	NA	NA	730	1.91	NA	2	11.5	28	11.1	52 10129	9	NA	883	0.32	114	4.01	33	0.86	930	2.61	NA	10	11.8	42	14	90 10130	NA	NA	992	0.43	5	NA	NA	NA	1021	1.88	NA	5	10.8	89	11	158 10131	76	135.11	7868	0.28	2621	4.8	218	0.51	7542	2.57	12.9	182	13	308	12.1	328 10138	NA	NA	442	0.34	NA	NA	NA	NA	443	2.02	NA	2	NA	8	NA	7 10139	181	137.17	11614	0.3	4523	8.86	637	0.34	11568	2.08	15.9	254	13.4	405	12.8	513 10144	79	114.66	5110	0.63	1675	6.23	173	0.61	5484	3.01	15.7	128	12.5	344	14.1	197 10146	6	NA	1335	0.41	74	4.37	13	NA	1384	1.64	NA	24	14.2	48	16.9	126 10148	NA	NA	2079	0.32	22	NA	NA	NA	2134	1.72	NA	14	10.1	132	11.7	65 10149	33	117.48	4590	0.28	817	2.06	186	0.55	4698	1.77	13.7	79	9.7	293	10.3	212 10150	11	NA	1586	0.31	170	3.92	42	0.82	1634	3.69	NA	20	11.4	91	12.8	87 10157	28	137.03	1436	0.3	274	8.12	79	0.73	1535	2.07	NA	3	14	65	11.8	137 10158	36	118.89	2569	0.38	536	3.78	93	0.77	2603	3.75	13.8	31	13.7	114	14.1	219 10164	25	139.66	2998	0.45	333	4.59	122	1.62	3104	2.61	14.6	44	13	139	10.3	252 10168	35	106.95	2406	0.3	1990	4.53	13	NA	2194	1.31	NA	6	11.4	27	11.6	40 10169	3	NA	1583	0.31	55	4.3	18	NA	1622	1.92	NA	18	10.4	149	12.8	96 11300	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3	NA	22	14.6	28 11302	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2	12.6	26	10.8	42 11304	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3 13301	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA 20001	142	98.62	7817	0.19	3287	2.87	335	0.45	8132	3.8	13.3	285	15.2	358	11.5	256 20006	27	117.98	2854	0.25	682	3.05	161	2.2	2973	3.57	17.7	67	14	126	12.4	197 20008	6	NA	1060	0.32	214	3.54	26	0.88	1079	1.56	NA	20	11.5	42	10.8	80 20012	32	114.94	2390	0.33	646	2.94	142	0.6	2494	2.87	15.2	79	14.8	103	13.2	97 20017	80	130.63	2832	0.3	1832	5.47	182	0.54	2900	1.84	15.2	78	13.4	74	14.1	68 20018	NA	NA	526	0.33	NA	NA	NA	NA	540	1.95	NA	1	11.2	33	9.5	137 20024	7	NA	1458	0.3	366	4.87	70	0.76	1534	2.01	NA	17	10.8	63	10.9	94 20026	52	128.06	2838	0.47	877	3.66	188	0.56	2894	3.63	15.9	38	13.4	73	14.2	150 20027	NA	NA	531	0.32	65	4.32	23	NA	549	2.67	NA	2	NA	16	15.5	39 21301	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1	NA	3	NA	9 21302	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3	NA	7	NA	10 21303	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	8	NA	9	11.4	31 21304	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1	NA	6	NA	13 21305	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	4	NA	9	NA	18 21306	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	2	NA	21	11.6	40 21307	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1	NA	2 21308	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	1	NA	15	11.9	26 21309	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	3	NA	7	NA	15 21311	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	10	11.2	28	13.1	77 21313	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	NA	9	NA	24	12.4	60 30001	3	NA	1153	0.29	83	5.41	10	NA	1204	1.98	NA	17	11.5	27	11.1	34 30002	401	87.13	18790	0.45	7937	3.15	1096	0.75	20073	1.85	14.2	179	9.9	302	11.1	182 30006	268	107.7	16237	0.45	7205	6.21	673	2.55	16898	2.37	14.4	368	13.6	449	11.9	443 30007	44	120.18	3487	0.34	1199	3.8	183	0.54	3698	1.02	18.3	136	10.2	160	12.4	210 30010	85	118.36	6523	0.21	1917	4.01	209	1.12	6701	1.49	18.4	180	12.8	183	9.9	207 30011	136	129.68	9412	0.23	3232	3.93	415	0.89	9584	3.53	17.3	201	10.4	319	14.8	408 30012	131	101.05	7340	0.65	2765	3.01	274	1.68	7760	3.13	14.9	298	12.6	222	11.8	382 30013	154	124.86	11207	0.31	2792	3.07	331	0.41	12152	2.35	11.7	526	12.8	508	16.7	935 30014	143	102.04	10296	0.37	3308	4.53	345	0.93	10911	2.73	15.7	96	11.5	229	11	168 30016	36	100.91	4574	0.52	999	5.28	182	1.33	4875	2.12	14.4	83	12.3	131	14	275 30022	44	130.67	2158	0.26	546	12.23	64	0.75	2331	2.34	NA	11	NA	10	NA	20 30023	102	133.17	6364	0.21	3174	2.66	230	0.43	6201	1.85	12.5	164	13.2	186	9.3	251 30024	376	80.89	12767	0.51	5826	5.43	520	0.9	12847	3.7	16.6	145	11.6	161	12.1	151 30030	123	92.49	4824	0.18	2123	4.19	224	1.26	5215	2.84	15.2	141	11	143	15.3	87 30033	37	79.12	2475	0.24	644	4.32	121	0.62	2619	1.46	NA	24	11.5	96	13	78 30036	98	109.51	7031	0.32	1988	2.89	214	1.2	7797	1.91	15.2	221	12.1	313	11.5	354 30037	42	97.66	2786	0.41	1596	2.53	97	0.74	2985	2.31	14.7	40	11.2	63	13.6	51 30038	188	77.56	11110	0.45	3809	3.7	300	0.95	11784	1.86	15	172	9.3	384	11.8	355 30043	38	111.34	4079	0.33	696	5.78	168	1.38	4351	3.76	16.8	145	11.8	207	10.9	238 30055	78	105.45	6508	0.34	1572	3.9	236	0.43	7057	3.37	16.4	179	9.9	289	12.9	448 30061	221	107.79	24223	0.23	7612	3.13	724	0.58	25772	1.24	15.2	465	12.2	636	10.9	577 30062	26	104.08	2233	0.26	811	5.07	128	0.64	2368	1.78	14.4	56	12.2	76	12	142 30064	242	99.94	10991	0.48	4148	3.15	618	0.67	12030	3.37	12.8	217	10.9	234	10.6	287 30065	180	100.63	10272	0.4	3432	3.89	587	1.11	10688	1.39	14.6	189	10.3	315	10.3	331 30067	5	NA	1094	0.37	163	3.94	39	0.8	1124	1.4	15.2	46	12	54	10.3	123 30068	4	NA	1208	0.31	216	3.54	27	0.85	1289	2.18	NA	13	15.5	51	11.5	153 30069	56	107.85	5653	0.19	2212	4.5	227	1.22	6044	2	18.4	242	12.8	286	15.4	249 30071	3	NA	830	0.31	103	4.28	26	0.88	867	1.67	NA	5	NA	21	10	169 30073	20	NA	1344	0.3	330	3.23	33	0.89	1391	1.45	NA	5	11.4	43	10.2	193 30074	NA	NA	93	0.34	NA	NA	NA	NA	94	2.04	NA	NA	NA	NA	NA	10 30077	NA	NA	29	0.34	NA	NA	NA	NA	29	2.05	NA	NA	NA	NA	NA	2 30078	NA	NA	372	0.45	92	5.53	24	NA	386	2.76	NA	NA	NA	4	10.7	37 30083	33	110.48	2158	0.45	552	3.27	72	0.77	2247	2.46	15.3	45	12.4	63	13.6	116 30084	4	NA	867	0.31	90	4.29	24	NA	888	1.63	NA	11	10.7	38	10.7	143 30085	136	79.97	9415	0.35	4179	4.16	361	1.58	9642	3.6	17.7	156	13.1	279	13.7	458 30087	189	104.9	12831	0.28	5706	4.17	645	0.61	13654	2.25	14	269	8.8	472	10.5	519 30088	118	75.45	14843	0.32	2917	4.37	555	1.86	15643	1.42	16.6	46	13.1	436	10.1	626 30089	162	76.56	9569	0.19	2682	4.64	325	1.48	10264	1.76	16.1	175	9	389	8	353 30092	119	83.73	6611	0.28	2219	5.4	209	1.22	7301	1.56	13.4	114	11.2	168	10	192 30093	89	97.75	12976	0.26	3180	3.4	345	0.4	13633	1.9	13.4	394	12.9	493	12.1	578 30094	64	87.43	4047	0.44	1466	4.02	128	1.53	4351	1.87	15	74	11.7	123	12	177 30100	47	96.62	2182	0.62	1042	4.23	20	NA	2580	5.39	13	188	10	185	12.7	87 30101	55	109.62	5802	0.44	1449	4.32	173	0.57	5962	1.24	15.8	180	11.8	313	12.3	211 30103	382	54.89	13619	0.34	6378	3	1025	0.73	14818	0.88	12.7	212	10.2	386	7.9	457 30105	62	95.24	4369	0.61	2425	2.65	26	0.88	5118	1.41	14.4	407	9.8	606	13.9	25 30107	12	NA	871	0.33	853	2.91	6	NA	723	1.75	NA	NA	NA	NA	NA	NA 30108	4	NA	780	0.33	750	2.78	NA	NA	358	1.26	NA	NA	NA	NA	NA	NA 30110	58	88.01	3589	0

Subhanbasha · Accepted Answer

Exam3
Catherine
December 2021
knitr::opts_chunk$set(echo = TRUE,warning = FALSE,messages=FALSE)
Question 1.a
library(tinytex) 
# Reading file 
leuk |t|)   
## (Intercept)  5.001776   6.717355   0.745   0.4652   
## CELL        -0.222161   1.779991  -0.125   0.9019   
## SMEAR       -1.528849   3.387515  -0.451   0.6566   
## INFIL        1.584228   3.850919   0.411   0.6852   
## LI           0.535005   0.266740   2.006   0.0586 . 
## BLAST       -0.009178   0.335354  -0.027   0.9784   
## TEMP        -4.949192   6.692905  -0.739   0.4682   
## --- 
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 
##  
## (Dispersion parameter for gaussian family taken to be 0.1953698) 
##  
##     Null deviance: 6.0000  on 26  degrees of freedom 
## Residual deviance: 3.9074  on 20  degrees of freedom 
## AIC: 40.433 
##  
## Number of Fisher Scoring iterations: 2
By observing the logistic regression model summary the p value of each independent
variable is greater than 0.05 so we can infer that non of the variables are significant in
the model.
Question 1.

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