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Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

-2 votes

For a simple linear regression, do we have requirements for using continuous/discrete variab...

For regression following variable types hold: Dependent variable must be continuous only. Independent variable may be continuous or discrete. … If dependent variable is discrete then the problem will become classification problem rather than regression. As per me An Introduction to Statistical Learning is good book to learn regression. …
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What is meant by multicollinearity does not influence the predictive power of the model?

Multicollinearity makes the (observation)×(feature) matrix singular or near-singular. This is why it reduces the predictive power of the model. For more clear explanation follow the given link: ht …
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Linear Regression feature transformation

Answer to your first question: Linear equation means linear combination of the features/variables. In linear equation we focus on the fact that the combination of features must be linear. Here we doe …
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