The data provided give the number of standby hours based on total staff present, X₁, and remote hours, X₂. 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. VIF₁ = VIF₂ = (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? O A. No. The VIF for each independent variable is greater than 5. OB. Yes. The VIF for each independent variable is less than 5. OC. No. The VIF for each independent variable is less than 5. O D. Yes. The VIF for each independent variable is greater than 5. Table of Data Standby Total Staff Hours Present 244 338 272 357 198 197 114 156 115 276 203 238 339 333 326 303 282 320 353 327 Remote Hours 413 658 523 382 347 351 381 159 276 473 D - X
The data provided give the number of standby hours based on total staff present, X₁, and remote hours, X₂. 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. VIF₁ = VIF₂ = (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? O A. No. The VIF for each independent variable is greater than 5. OB. Yes. The VIF for each independent variable is less than 5. OC. No. The VIF for each independent variable is less than 5. O D. Yes. The VIF for each independent variable is greater than 5. Table of Data Standby Total Staff Hours Present 244 338 272 357 198 197 114 156 115 276 203 238 339 333 326 303 282 320 353 327 Remote Hours 413 658 523 382 347 351 381 159 276 473 D - X
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
![The data provided give the number of standby hours based on total staff present, X₁, and remote hours, X₂. 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 1
VIF₂ =
(Round to three decimal places as needed.)
Is there reason to suspect the existence of collinearity?
=
A. No. The VIF for each independent variable is greater than 5.
B. Yes. The VIF for each independent variable is less than 5.
C. No. The VIF for each independent variable is less than 5.
D. Yes. The VIF for each independent variable is greater than 5.
Table of Data
Standby Total Staff Remote
Hours
Present
Hours
244
338
413
272
357
658
198
339
523
ITI
197
333
382
114
326
347
156
303
351
115
282
381
276
320
159
203
353
276
238
327
473
X](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb5618c28-dbc7-4165-9f63-517763de5426%2F8b187085-b069-47af-b04c-cfa9976f8436%2Fwvjvji_processed.png&w=3840&q=75)
Transcribed Image Text:The data provided give the number of standby hours based on total staff present, X₁, and remote hours, X₂. 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 1
VIF₂ =
(Round to three decimal places as needed.)
Is there reason to suspect the existence of collinearity?
=
A. No. The VIF for each independent variable is greater than 5.
B. Yes. The VIF for each independent variable is less than 5.
C. No. The VIF for each independent variable is less than 5.
D. Yes. The VIF for each independent variable is greater than 5.
Table of Data
Standby Total Staff Remote
Hours
Present
Hours
244
338
413
272
357
658
198
339
523
ITI
197
333
382
114
326
347
156
303
351
115
282
381
276
320
159
203
353
276
238
327
473
X
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