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In this program

Least squares estimation of slope
Intercept
Interpretation of coefficients and R²
Inference for regression parameters
Prediction intervals
Confidence bands
Assumptions: linearity, homoscedasticity, normality of errors

Simple linear regression

Least squares estimation of slope

Regression analysis · STEM / applied

Topic

Least squares estimation of slope

Practice by unit: Simple linear regression

Undergraduate Regression analysis — outline derived from course README sections and typical US statistics syllabi (OpenIntro / standard OER where applicable).

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