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Simple Linear Regression by Hand: Least Squares, R² & Standard Error

Lesson 2 of 818 minLab

This lesson is part of the course

In this lesson

You fit sales = b0 + b1 × store size with nothing but sums of squares, then measure the fit with R² and the standard error, and compare with Excel's built-in functions.

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Lessons in this course

  1. Scatter Plots & Correlation: Is There a Linear Relationship?Lab15 min Locked
  2. Simple Linear Regression by Hand: Least Squares, R² & Standard ErrorLab18 min Locked
  3. Is the Slope Real? t Statistic, p-Value & Confidence IntervalLab16 min Locked
  4. Predicting a New Store: Point Forecast & Prediction IntervalLab16 min Locked
  5. Multiple Regression with LINEST: Three Drivers at OnceLab18 min Locked
  6. Dummy Variables: Regions and Seasons in a RegressionLab17 min Locked
  7. Residual Analysis: Residual Plot, Standardised Residuals & OutliersLab17 min Locked
  8. Log Models & Elasticity, plus Two Classic PitfallsLab17 min Locked