This R Markdown shows the OLS analysis for a prediction model for Bitcoin. The results calculate both directional prediction accuracy and point estimate accuracy.

Runs several tests to determine if a model is reasonable for linear regression. The function tests for autocorrelation, multicollinearity, and heteroscedasticity.

This function produces correlograms and bar charts for users to narrow down potential variables for a regression model.

This function knows only to log columns with only positive values, then it lags both the logged and raw data. The result is a new data frame with raw, logged, and lagged variables all included.