What is the importance of regression analysis in data science?
Regression analysis is crucial in data science as it helps in understanding relationships between variables and predicting outcomes.
Can you give me an example of how it's used in real life?
Sure! For instance, businesses use regression analysis to forecast sales based on advertising spend.
What are the different types of regression analysis?
There are several types, including linear regression, logistic regression, and polynomial regression, each serving different purposes.
How do I choose the right type of regression for my data?
Choosing the right type depends on the nature of your data and the relationship you want to model. Analyzing your data's distribution is key.
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