I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

Linear regression is one of the simplest and most useful tools for analyzing data. It helps you find the relationship between variables so you can make predictions and understand patterns. In this ...

Sometimes, a model uses the square, square-root or any other power of one or more independent variables to predict the dependent one, which makes it a non-linear regression. For example: MS Growth ...

If, for example, some students had seen the answers ahead of time, the regression model would then have two explanatory variables: time studying and whether the student had prior knowledge of the ...