Category Archives: Uncategorized

In this post we will be discussing multicollinearity between significant predictors.

We will be exploring how adding more variables can improve my model to predict the amount of loves.

In this post I will be interpreting my models fit.

In this post I will be interpreting coefficients of my linear regression model and diving into a linear regression model of a binary variable.

Looking at the Linear Regression between number of loves and size of discount.

Taking a look at the variables I have to work with and explore using R.

This blog will follow my exploration of a dataset found on Kaggle that could help Sephora execute more sales. I have chosen to work with the Sephora Website Dataset and it contains 9 variables shown below: In the dataset, each row is information about a single product that is listed on their website. Each productContinue reading “Data & Impact”