The data provided give the number of standby hours based on total staff present, X,, and remote hours, X. Perform a multiple regression analysis using the data provided and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity? E Click the icon to view the data. Determine the VIF for each independent variable in the model. VIF, =O VIF, =O (Round to three decimal places as needed.) - X Table of Data ITT Standby Total Staf Present 331 Remote Hours Hours 244 418 272 352 652 198 196 118 157 337 335 321 304 525 380 340 356 389 159 270 470 114 275 204 234 281 327 355 321 Print Done

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The data provided give the number of standby hours based on total staff present, X1, and remote hours, X,. Perform a multiple regression analysis using the data provided and determine the VIF for each independent variable in the model. Is there reason
to suspect the existence of collinearity?
Click the icon to view the data.
Determine the VIF for each independent variable in the model.
VIF, =D VIF2 =
(Round to three decimal places as needed.)
Table of Data
Standby Total Staff
Hours
Remote
Present
Hours
244
331
418
272
352
652
198
196
337
525
335
380
118
157
321
340
304
356
114
281
389
275
327
159
270
470
204
355
234
321
Print
Done
Transcribed Image Text:The data provided give the number of standby hours based on total staff present, X1, and remote hours, X,. Perform a multiple regression analysis using the data provided and determine the VIF for each independent variable in the model. Is there reason to suspect the existence of collinearity? Click the icon to view the data. Determine the VIF for each independent variable in the model. VIF, =D VIF2 = (Round to three decimal places as needed.) Table of Data Standby Total Staff Hours Remote Present Hours 244 331 418 272 352 652 198 196 337 525 335 380 118 157 321 340 304 356 114 281 389 275 327 159 270 470 204 355 234 321 Print Done
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