Math, Stats, Julia, Predictions, Linear Regression.
Missing data: Any missing data is missing at random. Linearity: The relationship between the predictors and the response is linear. Violating these assumptions can lead to invalid test results, such as biased estimates or incorrect p-values. It is important to carefully consider these assumptions