We recently used machine learning, specifically multiple linear regression, in a surgical wait times data set, where the surgical specialties were the independent (feature) variables, and the predicted surgical wait time the dependent (outcome) variable. We decided to blog about this analysis, as the choice of the default B0 coefficient, cardiac surgery, had different implications for significance of the other individual coefficients than choosing a different default B0 coefficient, such as general surgery.

Exploratory analysis of a surgical wait times dataset, to set up for predictive modeling.

Utilize a retail dataset to forecast sales

This is a research study on the statistical analysis of the Nova Scotia Surgical Wait Times dataset, utilizing multiple linear regression to make predictions about wait times based on feature variables.