causal methods and time-series methods. Linear regression forecasting is a time-series method that uses basic statistics to project future values for a target variable. The two main categories of ...

Linear regression is much more flexible than its name might suggest, including polynomials, ANOVA and other commonly used statistical methods.

In the more realistic scenario of dependence on several variables, we can use multiple linear regression (MLR). Although MLR is similar to linear regression, the interpretation of MLR correlation ...

In this module, we will introduce generalized linear models ... introduce the binomial regression model, including the most common binomial link functions; correctly interpret the binomial regression ...

One can see that nonparametric regressions outperform parametric regressions in fitting the relationship between the two variables and the simple linear regression is the worst. We are going to cover ...