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? Determine the VIF for each independent var
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.
The data provided give the number of standby hours based on total staff present, X1, and remote hours, X2.
Perform a multiple
Determine the VIF for each independent variable in the model.
![Table of Data
Standby Total Staff
Remote
Hours
Present
Hours
245
335
411
272
355
653
199
333
522
385
194
338
113
321
341
153
309
353
116
288
384
272
324
153
201
359
279
236
326
477
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