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Regression analysis

By Jim Frost

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Regression analysis models the relationships between a response variable and one or more predictor variables. Use a regression model to understand how changes in the predictor values are associated with changes in the response mean. You can also use regression to make predictions based on the values of the predictors.

There are a variety of regression methodologies that you choose based on the type of response variable, the type of model that is required to provide an adequate fit to the data, and the estimation method.

Related

Related Articles:
  • How to Interpret P-values and Coefficients in Regression Analysis
  • Exponential Smoothing for Time Series Forecasting
  • Proxy Variables: The Good Twin of Confounding Variables
  • How To Interpret R-squared in Regression Analysis
  • Effect Sizes in Statistics
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