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7.3: Fitting a Line by Least Squares Regression
https://stats.libretexts.org/Bookshelves/Introductory_Statistics/OpenIntro_Statistics_(Diez_et_al)./07%3A_Introduction_to_Linear_Regression/7.03%3A_Fitting_a_Line_by_Least_Squares_Regression
Fitting linear models by eye is open to criticism since it is based on an individual preference. In this section, we use least squares regression as a more rigorous approach.
10.4: The Least Squares Regression Line
https://stats.libretexts.org/Bookshelves/Introductory_Statistics/Introductory_Statistics_(Shafer_and_Zhang)/10%3A_Correlation_and_Regression/10.04%3A_The_Least_Squares_Regression_Line
How well a straight line fits a data set is measured by the sum of the squared errors. The least squares regression line is the line that best fits the data. Its slope and y-intercept are computed fro...How well a straight line fits a data set is measured by the sum of the squared errors. The least squares regression line is the line that best fits the data. Its slope and y-intercept are computed from the data using formulas. The slope of the least squares regression line estimates the size and direction of the mean change in the dependent variable y when the independent variable x is increased by one unit.
13.3: Fitting a Line by Least Squares Regression
https://stats.libretexts.org/Courses/Cerritos_College/Introduction_to_Statistics_with_R/13%3A_Introduction_to_Linear_Regression/13.03%3A_Fitting_a_Line_by_Least_Squares_Regression
Fitting linear models by eye is open to criticism since it is based on an individual preference. In this section, we use least squares regression as a more rigorous approach.

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