Use Excel to develop a regression model for the Hospital Database (using the "Excel Databases.xls" file on Blackboard) to predict the number of Personnel by the number of Births. What can you conclude from the study? O The number of personnel is not adding significant predictability to the number of births in a hospital. O The number of births is not adding significant predictability to the number of personnel in a hospital. O The number of personnel is adding significant predictability to the number of births in a hospital. The number of births is adding significant predictability to the number of personnel in a hospital.
Use Excel to develop a regression model for the Hospital Database (using the "Excel Databases.xls" file on Blackboard) to predict the number of Personnel by the number of Births. What can you conclude from the study? O The number of personnel is not adding significant predictability to the number of births in a hospital. O The number of births is not adding significant predictability to the number of personnel in a hospital. O The number of personnel is adding significant predictability to the number of births in a hospital. The number of births is adding significant predictability to the number of personnel in a hospital.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Hospital | Births | Personnel |
1 | 312 | 792 |
2 | 1077 | 1762 |
3 | 1027 | 2310 |
4 | 355 | 328 |
5 | 168 | 181 |
6 | 3810 | 1077 |
7 | 735 | 742 |
8 | 1 | 131 |
9 | 1733 | 1594 |
10 | 257 | 233 |
11 | 169 | 241 |
12 | 430 | 203 |
13 | 0 | 325 |
14 | 2049 | 676 |
15 | 211 | 347 |
16 | 16 | 79 |
17 | 2648 | 505 |
18 | 2450 | 1543 |
19 | 1465 | 755 |
20 | 0 | 959 |
21 | 1993 | 325 |
22 | 2275 | 954 |
23 | 1494 | 1091 |
24 | 1313 | 671 |
25 | 451 | 300 |
26 | 1689 | 753 |
27 | 1583 | 607 |
28 | 2017 | 929 |
29 | 995 | 354 |
30 | 2045 | 408 |
31 | 1686 | 1251 |
32 | 503 | 386 |
33 | 126 | 144 |
34 | 2026 | 2047 |
35 | 1412 | 1343 |
36 | 1517 | 1723 |
37 | 0 | 96 |
38 | 0 | 529 |
39 | 2719 | 3694 |
40 | 1074 | 1042 |
41 | 1421 | 1071 |
42 | 762 | 1525 |
43 | 3194 | 1983 |
44 | 496 | 670 |
45 | 1442 | 1653 |
46 | 0 | 167 |
47 | 1107 | 793 |
48 | 2989 | 841 |
49 | 113 | 316 |
50 | 0 | 93 |
51 | 0 | 373 |
52 | 173 | 263 |
53 | 1064 | 943 |
54 | 759 | 605 |
55 | 1317 | 596 |
56 | 1751 | 1165 |
57 | 0 | 568 |
58 | 0 | 507 |
59 | 714 | 479 |
60 | 99 | 136 |
61 | 2243 | 1456 |
62 | 3966 | 3486 |
63 | 1308 | 885 |
64 | 0 | 243 |
65 | 2514 | 1001 |
66 | 3714 | 3301 |
67 | 126 | 337 |
68 | 556 | 1193 |
69 | 1327 | 1161 |
70 | 415 | 322 |
71 | 216 | 185 |
72 | 339 | 205 |
73 | 1217 | 1224 |
74 | 2641 | 1704 |
75 | 790 | 815 |
76 | 520 | 712 |
77 | 35 | 156 |
78 | 1168 | 1769 |
79 | 793 | 875 |
80 | 0 | 790 |
81 | 0 | 308 |
82 | 14 | 70 |
83 | 0 | 494 |
84 | 0 | 111 |
85 | 0 | 1618 |
86 | 0 | 244 |
87 | 776 | 525 |
88 | 451 | 472 |
89 | 0 | 94 |
90 | 145 | 297 |
91 | 1284 | 847 |
92 | 1 | 234 |
93 | 319 | 401 |
94 | 2154 | 3928 |
95 | 295 | 198 |
96 | 496 | 1231 |
97 | 589 | 545 |
98 | 806 | 663 |
99 | 701 | 820 |
100 | 3968 | 2581 |
101 | 0 | 1298 |
102 | 0 | 126 |
103 | 3655 | 2534 |
104 | 0 | 251 |
105 | 0 | 85 |
106 | 0 | 432 |
107 | 0 | 864 |
108 | 0 | 66 |
109 | 3063 | 556 |
110 | 169 | 347 |
111 | 66 | 239 |
112 | 827 | 973 |
113 | 570 | 439 |
114 | 0 | 1849 |
115 | 0 | 102 |
116 | 0 | 262 |
117 | 342 | 885 |
118 | 494 | 549 |
119 | 0 | 611 |
120 | 0 | 330 |
121 | 0 | 1471 |
122 | 0 | 75 |
123 | 286 | 262 |
124 | 235 | 328 |
125 | 339 | 377 |
126 | 398 | 575 |
127 | 1275 | 1916 |
128 | 5699 | 2620 |
129 | 1364 | 571 |
130 | 714 | 703 |
131 | 0 | 535 |
132 | 0 | 160 |
133 | 0 | 202 |
134 | 779 | 1330 |
135 | 0 | 370 |
136 | 2202 | 3123 |
137 | 3346 | 2745 |
138 | 1071 | 815 |
139 | 352 | 576 |
140 | 254 | 502 |
141 | 0 | 808 |
142 | 0 | 50 |
143 | 699 | 728 |
144 | 2462 | 4087 |
145 | 3311 | 3012 |
146 | 0 | 68 |
147 | 4207 | 3090 |
148 | 0 | 1358 |
149 | 339 | 576 |
150 | 130 | 284 |
151 | 91 | 145 |
152 | 1143 | 2312 |
153 | 0 | 1124 |
154 | 0 | 336 |
155 | 509 | 415 |
156 | 1026 | 1779 |
157 | 0 | 338 |
158 | 447 | 453 |
159 | 1161 | 437 |
160 | 0 | 261 |
161 | 922 | 609 |
162 | 562 | 647 |
163 | 78 | 61 |
164 | 0 | 2074 |
165 | 2122 | 2232 |
166 | 0 | 948 |
167 | 0 | 409 |
168 | 0 | 153 |
169 | 710 | 741 |
170 | 1165 | 1625 |
171 | 466 | 538 |
172 | 1106 | 789 |
173 | 376 | 395 |
174 | 0 | 956 |
175 | 637 | 362 |
176 | 0 | 144 |
177 | 352 | 229 |
178 | 447 | 396 |
179 | 1227 | 2256 |
180 | 963 | 731 |
181 | 3038 | 1477 |
182 | 0 | 102 |
183 | 0 | 106 |
184 | 868 | 939 |
185 | 1189 | 392 |
186 | 2849 | 3516 |
187 | 1728 | 785 |
188 | 2171 | 607 |
189 | 364 | 273 |
190 | 0 | 630 |
191 | 2993 | 1379 |
192 | 0 | 1108 |
193 | 1964 | 583 |
194 | 601 | 514 |
195 | 387 | 216 |
196 | 1946 | 1593 |
197 | 545 | 1055 |
198 | 0 | 399 |
199 | 838 | 834 |
200 | 51 | 104 |

Transcribed Image Text:Use Excel to develop a regression model for the Hospital Database (using the "Excel Databases.xls" file on Blackboard) to predict the number of Personnel by the number of
Births. What can you conclude from the study?
O The number of personnel is not adding significant predictability to the number of births in a hospital.
O The number of births is not adding significant predictability to the number of personnel in a hospital.
O The number of personnel is adding significant predictability to the number of births in a hospital.
O The number of births is adding significant predictability to the number of personnel in a hospital.
QUESTION 10
Now develop a regression model to predict number of Personnel by number of Beds. In comparison to the previous model, which model is stronger at predicting number of
Personnel? Why?
Model 1: Predicting personnel by the number of births
Model 2: Predicting personnel by the number of beds
O Model 1 because the coefficient of determination is higher.
O Model 1 because the coefficient of determination is lower.
O Model 2 because the coefficient of determination is higher.
O Model 2 because the coefficient of determination is lower.
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