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Ace Linear Regression Practical Exam
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Module 1
Core Concepts & R Output Navigation
1
Interpreting R Regression Output
Locate key statistics (coefficients, p-values, R-squared, F-statistic) in R's `summary()` and `anova()` outputs.
2
Interpreting SLR Coefficients
Interpret the intercept (β₀) and slope (β₁) coefficients for a Simple Linear Regression (SLR) model.
3
The Full SLR Equation: Meaning in Context
Write a precise, 2-line exam-style sentence to explain the meaning of the full SLR equation in context.
4
Understanding Residuals
Define a residual as the difference between an observed and a predicted value (e = y − ŷ).
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Assessing & Comparing Model Fit