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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 = VIF 2=0 (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? SOA. No. The VIF for each independent variable is less than 5. OB. Yes. The VIF for each independent variable is greater than 5. OC. No. The VIF for each independent variable is greater than 5. O D. Yes. The VIF for each independent variable is less than 5. Table of Data Standby Total Staff Hours 245 274 195 197 117 153 115 275 200 236 Present 330 358 336 339 321 303 286 329 352 323 Remote Hours 417 655 524 385 349 350 388 153 278 479

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 = VIF 2=0 (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? SOA. No. The VIF for each independent variable is less than 5. OB. Yes. The VIF for each independent variable is greater than 5. OC. No. The VIF for each independent variable is greater than 5. O D. Yes. The VIF for each independent variable is less than 5. Table of Data Standby Total Staff Hours 245 274 195 197 117 153 115 275 200 236 Present 330 358 336 339 321 303 286 329 352 323 Remote Hours 417 655 524 385 349 350 388 153 278 479

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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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 ₂2 = VIF₁ = (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? OA. No. The VIF for each independent variable is less than 5. B. Yes. The VIF for each independent variable is greater than 5. OC. No. The VIF for each independent variable is greater than 5. OD. Yes. The VIF for each independent variable is less than 5. wwwwwww Table of Data Standby Total Staff Hours Present 245 330 274 358 195 197 117 153 115 275 200 236 336 339 321 303 286 329 352 323 Remote Hours 417 655 524 385 349 350 388 153 278 479 Print Done
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 ₂2 = VIF₁ = (Round to three decimal places as needed.) Is there reason to suspect the existence of collinearity? OA. No. The VIF for each independent variable is less than 5. B. Yes. The VIF for each independent variable is greater than 5. OC. No. The VIF for each independent variable is greater than 5. OD. Yes. The VIF for each independent variable is less than 5. wwwwwww Table of Data Standby Total Staff Hours Present 245 330 274 358 195 197 117 153 115 275 200 236 336 339 321 303 286 329 352 323 Remote Hours 417 655 524 385 349 350 388 153 278 479 Print Done
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