Your IT department provided you data on patients that received ER services, their GHHS, and their recovery time. Prepare a report to share with the owners of the facility that will help you make informed decisions about how long you can expect a patients’ recovery time would be based on their GHHS. Based on your findings provide recommendations on your plan moving forward to improve the functioning of your facilities in generating revenue. Prepare a report that addresses each of these areas.
ID | Recovery Time | GHSS |
137 | 10 | 1 |
141 | 15 | 1 |
165 | 15 | 2 |
197 | 30 | 10 |
140 | 45 | 11 |
126 | 10 | 12 |
156 | 13 | 13 |
110 | 15 | 13 |
160 | 8 | 14 |
135 | 40 | 14 |
121 | 10 | 15 |
197 | 10 | 15 |
132 | 12 | 16 |
119 | 60 | 16 |
128 | 16 | 16 |
197 | 13 | 19 |
134 | 30 | 22 |
197 | 12 | 23 |
155 | 14 | 24 |
130 | 15 | 25 |
150 | 14 | 25 |
112 | 14 | 26 |
108 | 10 | 26 |
100 | 16 | 26 |
161 | 13 | 27 |
163 | 18 | 34 |
117 | 4 | 36 |
169 | 3 | 36 |
144 | 10 | 36 |
106 | 22 | 36 |
123 | 25 | 36 |
157 | 17 | 44 |
158 | 19 | 45 |
129 | 18 | 46 |
197 | 19 | 46 |
159 | 30 | 48 |
197 | 26 | 48 |
177 | 25 | 49 |
142 | 20 | 49 |
115 | 23 | 55 |
193 | 24 | 55 |
102 | 22 | 55 |
170 | 30 | 55 |
186 | 10 | 55 |
197 | 19 | 55 |
113 | 16 | 56 |
182 | 41 | 57 |
197 | 10 | 59 |
124 | 12 | 61 |
183 | 13 | 63 |
143 | 14 | 66 |
197 | 15 | 66 |
120 | 19 | 67 |
178 | 8 | 73 |
111 | 14 | 73 |
127 | 44 | 74 |
166 | 30 | 77 |
152 | 32 | 77 |
139 | 10 | 77 |
109 | 10 | 77 |
197 | 22 | 78 |
176 | 10 | 79 |
131 | 27 | 79 |
197 | 19 | 79 |
197 | 15 | 79 |
197 | 40 | 79 |
138 | 50 | 79 |
180 | 30 | 86 |
197 | 19 | 86 |
197 | 10 | 86 |
192 | 22 | 88 |
197 | 20 | 88 |
145 | 10 | 88 |
116 | 19 | 88 |
149 | 17 | 88 |
197 | 20 | 88 |
196 | 30 | 89 |
185 | 24 | 89 |
190 | 26 | 89 |
148 | 30 | 89 |
151 | 45 | 89 |
197 | 30 | 89 |
164 | 22 | 89 |
114 | 24 | 90 |
162 | 26 | 90 |
167 | 54 | 93 |
133 | 10 | 93 |
118 | 22 | 94 |
194 | 48 | 98 |
179 | 22 | 98 |
174 | 14 | 99 |
181 | 30 | 99 |
136 | 34 | 99 |
197 | 32 | 99 |
107 | 45 | 99 |
125 | 30 | 99 |
57.96875 |
SUMMARY OUTPUT | |||||
Regression Statistics | |||||
Multiple R | 0.2923 | ||||
R Square | 0.0855 | ||||
Adjusted R Square | 0.0757 | ||||
Standard Error | 11.1635 | ||||
Observations | 96 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 1 | 1094.7910 | 1094.7910 | 8.7848 | 0.0038 |
Residual | 94 | 11714.5423 | 124.6228 | ||
Total | 95 | 12809.3333 | |||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | |
Intercept | 15.1881 | 2.4649 | 6.1617 | 0.0000 | 10.2940 |
GHSS | 0.1118 | 0.0377 | 2.9639 | 0.0038 | 0.0369 |
recovery time^ = 15.1881 + 0.1118 GHSS
sample size is 96
Hypothesis
p-value = 0.0038
p-value < alpha
hence we reject the null hypothesis
we conclude that GHSS is significant
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