We use a methodology called Linear Regression. In statistics, linear regression is an approach to model the relationship between a scalar dependent variable y (engagement) and one or more explanatory variables denoted X (the other dimensions measured in our survey). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, it is called multiple linear regression.

In linear regression, data are modeled using linear predictor functions, and unknown model parameters are estimated from the data.

In linear regression, data are modeled using linear predictor functions, and unknown model parameters are estimated from the data.

Updated on: 02 / 13 / 2019