Multiple Regression in 90 Seconds (For Beginners)
Автор: SciBridge
Загружено: 2025-12-30
Просмотров: 1
Multiple linear regression explained for absolute beginners—no jargon.
Learn how one outcome (Y) can be predicted from multiple inputs (X’s), what coefficients (β) mean, what the intercept is, why residuals matter, and how to interpret R-squared and p-values. Plus: the key assumptions (linearity, homoscedasticity, and avoiding multicollinearity).
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