Regression | Probability and Statistics | Khan Academy (English)

   Tuesday, July 06, 2021   

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Regression | Probability and Statistics | Khan Academy
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Lecture Description of this above Topic:

Lecture 1: Comparing models to fit data

Lecture 2: Squared error of regression line

Lecture 3: Proof (part 4) minimizing squared error to regression line

Lecture 4: People smoking less over time scatter plot

Lecture 5: Calculating R-squared

Lecture 6: Regression line example

Lecture 7: Studying, shoe size, and test scores scatter plots

Lecture 8: Fitting a line to data

Lecture 9: Correlation and causality

Lecture 10: Constructing scatter plot exercise example

Lecture 11: Proof (part 2) minimizing squared error to regression line

Lecture 12: Estimating the line of best fit exercise

Lecture 13: R-squared or coefficient of determination

Lecture 14: Proof (part 1) minimizing squared error to regression line

Lecture 15: Constructing a scatter plot

Lecture 16: Proof (part 3) minimizing squared error to regression line

Lecture 17: Covariance and the regression line

Lecture 18: Second regression example