The data provided give the number of standby hours based on total staff present, X,. 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, =O VIF2 =D (Round to three decimal places as needed.) Standby Total Staff Remote Present 334 352 334 339 328 309 282 322 357 321 Hours 242 273 198 195 Hours 413 655 521 382 348 351 117 153 118 276 380 154 204 274 236 470
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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