It aims to find the best-fitting straight line. This project analyzes influencer marketing and promotional budgets' impact on sales using ML and statistical modeling in Python. It includes EDA, data ...

This tells us that there is an interplay between the two explanatory variables and highlights the importance of variable adjustment in multiple linear regression. We have discussed the basis of linear ...

The purpose of this tutorial is to continue our exploration of regression by constructing linear ... Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 ## ## Residual standard error: 4.01 ...

Even though human experience unfolds continuously in time, it is not strictly linear; instead, it entails cascading ... This is analogous to a multiple regression problem, but with the addition of a ...

We can categorize the ordinal regression into two categories: To perform ordinal regression we can use a generalized linear model ... We can fit and check the summary of the model using the following ...