NUMBER OF FACTORS LENGTH OF STAY NUMBER OF FACTORS LENGTH OF STAY y, days y, days 231 354 11 323 7 142 7 113 8 E6286 208 341 10 162 4 201 117 4 158 11 159 243 6. 169 9. 156 6. 55 6. 184 77 3 115 4 a...

NUMBER OF FACTORS<br>LENGTH OF STAY<br>NUMBER OF FACTORS<br>LENGTH OF STAY<br>y, days<br>y, days<br>231<br>354<br>11<br>323<br>7<br>142<br>7<br>113<br>8<br>E6286<br>208<br>341<br>10<br>162<br>4<br>201<br>117<br>4<br>158<br>11<br>159<br>243<br>6.<br>169<br>9.<br>156<br>6.<br>55<br>6.<br>184<br>77<br>3<br>115<br>4<br>a Indiye<br>6.<br>103<br>4<br>202<br>6.<br>147<br>206<br>230<br>6.<br>360<br>6.<br>78<br>84<br>525<br>9.<br>331<br>121<br>7<br>302<br>248<br>5<br>60<br>233<br>8<br>110<br>260<br>4<br>131<br>224<br>7<br>364<br>472<br>12<br>180<br>220<br>8<br>134<br>6.<br>383<br>6.<br>401<br>301<br>9.<br>155<br>262<br>7<br>338<br>8.<br>Source: Bayonet Point Hospital, Coronary Care Unit.<br>a. Construct a scattergram of the data.<br>b. Find the least squares line for the data and plot it on your scattergram.<br>c. Define B, in the context of this problem.<br>d. Test the hypothesis that the number of factors per patient (x) contributes no information for the<br>prediction of the patient's length of stay (y) when a linear model is used (use a = .05). Draw<br>the appropriate conclusions.<br>e. Find a 90% confidence interval for B1. Interpret your results.<br>39722547 o54<br>

Extracted text: NUMBER OF FACTORS LENGTH OF STAY NUMBER OF FACTORS LENGTH OF STAY y, days y, days 231 354 11 323 7 142 7 113 8 E6286 208 341 10 162 4 201 117 4 158 11 159 243 6. 169 9. 156 6. 55 6. 184 77 3 115 4 a Indiye 6. 103 4 202 6. 147 206 230 6. 360 6. 78 84 525 9. 331 121 7 302 248 5 60 233 8 110 260 4 131 224 7 364 472 12 180 220 8 134 6. 383 6. 401 301 9. 155 262 7 338 8. Source: Bayonet Point Hospital, Coronary Care Unit. a. Construct a scattergram of the data. b. Find the least squares line for the data and plot it on your scattergram. c. Define B, in the context of this problem. d. Test the hypothesis that the number of factors per patient (x) contributes no information for the prediction of the patient's length of stay (y) when a linear model is used (use a = .05). Draw the appropriate conclusions. e. Find a 90% confidence interval for B1. Interpret your results. 39722547 o54

Jun 11, 2022

SOLUTION.PDF

NUMBER OF FACTORS LENGTH OF STAY NUMBER OF FACTORS LENGTH OF STAY y, days y, days 231 354 11 323 7 142 7 113 8 E6286 208 341 10 162 4 201 117 4 158 11 159 243 6. 169 9. 156 6. 55 6. 184 77 3 115 4 a...

Get Answer To This Question

Related Questions & Answers

Submit New Assignment