Create a plot ( Logistic Regression Plot ) of Vote versus Phys , then add a line showing the estimated probability curve R Language Data set as following Hospital csv State Phys Beds MedChg Medicare SocSec SocChg SupSec SocEnr Vote AL 233 339 9 6 16481 06 19824 64 9 42 3595 54 903569 McCain AK 240 217 24 2 7862 3 9770 5 19 35 1667 12 64843 McCain AZ 244 195 16 4 13235 25 15539 43 15 96 1648 92 922932 McCain AR 226 348 7 1 16924 72 20373 79 8 14 3273 23 566219 McCain CA 295 201 8 2 11683 97 12354 3 6 06 3348 38 4463873 Obama CO 292 201 11 2 11139 94 12530 2 9 43 1190 35 584556 Obama CT 401 224 2 3 15014 63 16670 93 1 25 1488 76 585199 Obama DE 280 236 13 1 15030 87 17794 51 13 4 1632 08 150101 Obama FL 293 287 8 5 17107 28 19281 79 7 34 2378 93 3430205 Obama GA 243 277 12 3 11336 38 13593 03 12 01 2243 63 1233238 McCain HI 351 250 10 2 14283 55 15742 15 9 22 1784 36 200743 Obama ID 193 246 15 4 13329 69 15831 69 15 61 1557 7 226250 McCain IL 298 274 3 7 13278 78 14831 94 2 87 2026 38 1893055 Obama IN 236 302 6 1 14415 05 16962 03 6 48 1572 3 1063854 Obama IA 213 371 2 7 16500 7 18618 74 2 03 1462 18 552294 Obama KS 251 379 2 8 14618 9 16472 52 2 63 1426 83 452119 McCain KY 253 369 8 6 16213 33 19112 93 7 85 4311 95 797660 McCain LA 288 382 6 3 14130 8 15808 7 0 49 3375 56 715127 McCain ME 308 270 8 7 17807 27 20484 67 7 97 2420 72 270706 Obama MD 451 207 7 9 12434 94 13773 28 6 46 1690 17 771357 Obama MA 487 253 1 4 15227 63 16674 56 0 6 2674 54 1066962 Obama MI 267 257 5 9 14677 3 17277 86 6 18 2194 01 1748668 Obama MN 313 316 6 6 13593 91 15340 11 6 43 1421 12 787377 Obama MS 202 453 8 9 15600 32 18807 24 6 82 4264 99 549376 McCain MO 261 332 5 8 15699 82 18329 61 5 43 2030 24 1063174 McCain MT 262 468 8 15778 43 18102 7 58 1581 01 169375 McCain NE 267 420 3 14858 31 16601 21 2 25 1269 68 291980 McCain NV 211 204 23 7 12284 17 14342 55 20 69 1386 4 346345 Obama NH 299 216 12 2 14564 25 16855 43 10 52 1045 01 220796 Obama NJ 337 253 2 5 14141 15781 23 1 99 1745 16 1375796 Obama NM 272 193 13 4 13784 75 16151 76 12 34 2793 27 311468 Obama NY 424 333 3 14522 29 15902 91 1 83 3289 98 3062046 Obama NC 282 275 11 8 14598 61 17386 21 11 74 2295 65 1509687 Obama ND 270 561 0 6 16300 42 18017 3 0 07 1241 92 114712 McCain OH 289 292 3 1 15303 62 17105 19 2 56 2183 91 1960946 Obama OK 194 307 6 2 15205 15 17915 44 6 98 2247 62 635619 McCain OR 305 181 9 7 14748 25 16990 24 10 1667 13 618624 Obama PA 329 323 1 8 17164 13 19461 62 2 67 2556 86 2419005 Obama RI 383 222 0 9 16084 54 17917 76 0 08 2802 85 192829 Obama SC 256 267 13 6 15154 89 18295 3 13 06 2480 63 778480 McCain SD 247 598 4 3 16056 8 18142 42 3 34 1616 38 140773 McCain TN 286 346 10 4 15354 94 18273 63 9 95 2705 4 1089649 McCain TX 232 259 11 4 11034 87 12914 41 12 06 2205 09 2952230 McCain UT 233 187 14 1 9517 35 11056 31 13 26 915 38 273045 McCain VT 417 237 8 2 15464 57 18016 37 7 44 2104 16 112251 Obama VA 302 232 11 1 13111 6 15061 16 9 98 1819 13 1139748 Obama WA 304 177 11 3 13016 58 14910 42 11 03 1839 96 937531 Obama WV 255 409 5 2 19564 9 22789 53 5 2 4228 18 414053 McCain WI 284 265 5 5 14917 74 17224 46 5 75 1666 99 953581 Obama WY 216 405 8 5 13941 85 16001 56 7 07 1136 08 81495 McCain A plot similar to this But this plot is using Vote versus Beds, and was plotted using Excel I need Vote versus Phys(which is the number of Physicians in the state per 100,000 residents) using R Vote versus Beds with Logistic Curve Vate yhat 1 2 b0 9, b1 0 03 0 8 E 0 4 0 2 0 2 100 200 300 400 500 Hospital Beds per 100,000

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Question: Create a plot ( Logistic Regression Plot ) of Vote versus Phys , then add a line showing the estimated probability curve. R Language Data

Create a plot (Logistic Regression Plot) of Vote versus Phys, then add a line showing the estimated probability curve.

R Language

Data set as following: Hospital.csv

State	Phys	Beds	MedChg	Medicare	SocSec	SocChg	SupSec	SocEnr	Vote
AL	233	339	9.6	16481.06	19824.64	9.42	3595.54	903569	McCain
AK	240	217	24.2	7862.3	9770.5	19.35	1667.12	64843	McCain
AZ	244	195	16.4	13235.25	15539.43	15.96	1648.92	922932	McCain
AR	226	348	7.1	16924.72	20373.79	8.14	3273.23	566219	McCain
CA	295	201	8.2	11683.97	12354.3	6.06	3348.38	4463873	Obama
CO	292	201	11.2	11139.94	12530.2	9.43	1190.35	584556	Obama
CT	401	224	2.3	15014.63	16670.93	1.25	1488.76	585199	Obama
DE	280	236	13.1	15030.87	17794.51	13.4	1632.08	150101	Obama
FL	293	287	8.5	17107.28	19281.79	7.34	2378.93	3430205	Obama
GA	243	277	12.3	11336.38	13593.03	12.01	2243.63	1233238	McCain
HI	351	250	10.2	14283.55	15742.15	9.22	1784.36	200743	Obama
ID	193	246	15.4	13329.69	15831.69	15.61	1557.7	226250	McCain
IL	298	274	3.7	13278.78	14831.94	2.87	2026.38	1893055	Obama
IN	236	302	6.1	14415.05	16962.03	6.48	1572.3	1063854	Obama
IA	213	371	2.7	16500.7	18618.74	2.03	1462.18	552294	Obama
KS	251	379	2.8	14618.9	16472.52	2.63	1426.83	452119	McCain
KY	253	369	8.6	16213.33	19112.93	7.85	4311.95	797660	McCain
LA	288	382	6.3	14130.8	15808.7	0.49	3375.56	715127	McCain
ME	308	270	8.7	17807.27	20484.67	7.97	2420.72	270706	Obama
MD	451	207	7.9	12434.94	13773.28	6.46	1690.17	771357	Obama
MA	487	253	1.4	15227.63	16674.56	0.6	2674.54	1066962	Obama
MI	267	257	5.9	14677.3	17277.86	6.18	2194.01	1748668	Obama
MN	313	316	6.6	13593.91	15340.11	6.43	1421.12	787377	Obama
MS	202	453	8.9	15600.32	18807.24	6.82	4264.99	549376	McCain
MO	261	332	5.8	15699.82	18329.61	5.43	2030.24	1063174	McCain
MT	262	468	8	15778.43	18102	7.58	1581.01	169375	McCain
NE	267	420	3	14858.31	16601.21	2.25	1269.68	291980	McCain
NV	211	204	23.7	12284.17	14342.55	20.69	1386.4	346345	Obama
NH	299	216	12.2	14564.25	16855.43	10.52	1045.01	220796	Obama
NJ	337	253	2.5	14141	15781.23	1.99	1745.16	1375796	Obama
NM	272	193	13.4	13784.75	16151.76	12.34	2793.27	311468	Obama
NY	424	333	3	14522.29	15902.91	1.83	3289.98	3062046	Obama
NC	282	275	11.8	14598.61	17386.21	11.74	2295.65	1509687	Obama
ND	270	561	0.6	16300.42	18017.3	0.07	1241.92	114712	McCain
OH	289	292	3.1	15303.62	17105.19	2.56	2183.91	1960946	Obama
OK	194	307	6.2	15205.15	17915.44	6.98	2247.62	635619	McCain
OR	305	181	9.7	14748.25	16990.24	10	1667.13	618624	Obama
PA	329	323	1.8	17164.13	19461.62	2.67	2556.86	2419005	Obama
RI	383	222	0.9	16084.54	17917.76	0.08	2802.85	192829	Obama
SC	256	267	13.6	15154.89	18295.3	13.06	2480.63	778480	McCain
SD	247	598	4.3	16056.8	18142.42	3.34	1616.38	140773	McCain
TN	286	346	10.4	15354.94	18273.63	9.95	2705.4	1089649	McCain
TX	232	259	11.4	11034.87	12914.41	12.06	2205.09	2952230	McCain
UT	233	187	14.1	9517.35	11056.31	13.26	915.38	273045	McCain
VT	417	237	8.2	15464.57	18016.37	7.44	2104.16	112251	Obama
VA	302	232	11.1	13111.6	15061.16	9.98	1819.13	1139748	Obama
WA	304	177	11.3	13016.58	14910.42	11.03	1839.96	937531	Obama
WV	255	409	5.2	19564.9	22789.53	5.2	4228.18	414053	McCain
WI	284	265	5.5	14917.74	17224.46	5.75	1666.99	953581	Obama
WY	216	405	8.5	13941.85	16001.56	7.07	1136.08	81495	McCain

Create a plot (Logistic Regression Plot) of Vote versus Phys, then add

A plot similar to this. But this plot is using Vote versus Beds, and was plotted using Excel.

I need Vote versus Phys(which is the number of Physicians in the state per 100,000 residents) using R.

Vote versus Beds with Logistic Curve Vate yhat 1.2 b0-9, b1=-0.03 0.8 E 0.4 0.2 -0.2 100 200 300 400 500 Hospital Beds per 100,000

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