This Shiny application assists in identifying linear relationships between variables in the
data(mtcars) dataset. The model produced follows the basic multiple linear regression form of \(y_i = \beta_0 + \beta_1 x_1 + \beta_2 x_2 + ... \beta_n x_n + \epsilon_i\)
Why Do You Care?
When you have a dataset that contains multiple variables it can become tedious to perform initial analyses to identify linear relationships across multiple variables and to perform diagnostics. This app allows the user to quickly perform and analyze the performance of regression models in a dataset
The application proved to be quite useful for the Regression Models course project in which linear regression analysis was performed on this dataset