Multiple Regression

In statistics, linear regression is an approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables denoted X. The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. (This term should be distinguished from multivariate linear regression, where multiple correlated dependent variables are predicted,[citation needed] rather than a single scalar variable.)In linear regression, data are modeled using linear predictor functions, and unknown model parameters are estimated from the data. Such models are called linear models.
Posts about Multiple Regression
  • How To Predict Marginal Returns In Search

    …. Essentially, we want to build the above models not only looking at recent data, but also at future days, weeks or months anticipating for changes in search volume, CPCs, and conversion rate. Indeed, our keywords A and B most likely behave quite differently over time. So for each time period you need a prediction for, you can apply several factors…

    Benjamin Vigneron/ Marketing Landin Paid Search Google How To's- 11 readers -