Regression's 3 standard use cases you MUST know

(with layman's examples)

/🧵/

1/ Predictive modeling

Linear regression is often used in predictive modeling, where the goal is to use the independent variables to predict the value of the dependent variable.

Ex: To predict the sales of a product based on the advertising budget.

2/ Causal Analysis

Linear regression can also be used to understand the causal relationship between variables.

Ex: To understand the relationship between diet and weight gain, or to understand the relationship between smoking and the likelihood of developing lung cancer.

3/ Forecasting

Linear regression can be used to forecast future values of a variable based on historical data.

Ex: To forecast future sales based on past sales data, or to forecast the future value of a stock based on past performance.

With BrightData, you can collect high-quality data for market research, lead generation, ad verification, and much more.

BrightData has the tools and resources you need to gain valuable insights and make data-driven decisions.

Check it out: get.brightdata.com/jrrsfeofy4ow

That's a wrap!

If you enjoyed this thread:

1. Follow me @freest_man for more of these
2. Subscribe to my newsletter for more ---> sasi.beehiiv.com/subscribe