Linear regression is a popular and powerful statistical technique that allows you to model the relationship between a dependent variable and one or more independent variables. However, to use ...

ensuring our model stands on solid ground and our insights truly reflect the reality of the data we’re working with. When using linear regression, it is important to check four main assumptions ...

Using R Studio, we import a dataset containing the relevant economic data for several countries. We then use the lm() function to fit a linear regression model to the data, which allows us to explore ...