Study on Regression Analysis
In multivariate analysis it's obvious to possess a correlation between the response and predictor(s), but having correlation among predictors are some things undesired. The amount of predictors included within the regression model depends on many factors among which, historical data, experience, etc. At the top selection of most vital predictors are some things objectives thanks to the researcher. Multicollinearity may be phenomena when two or more predictors are correlated, if this happens, the quality error of the coefficients will increase.
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