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ordinary least squares

The simplest and most common method of fitting a straight line to a sample of data: by minimizing the sum of the squares of the deviations of the data from the line.

Related information about ordinary least squares:
  1. Ordinary least squares - Wikipedia, the free encyclopedia
    In statistics, ordinary least squares (OLS) or linear least squares is a method for estimating the unknown parameters in a linear regression model. This method ...
     
  2. Least squares - Wikipedia, the free encyclopedia
    Least squares problems fall into two categories: linear or ordinary least squares and non-linear least squares, depending on whether or not the residuals are ...
     
  3. Ordinary least squares - YouTube
    Dec 27, 2010 ... Regression #2: Ordinary Least Squares (OLS) 9:28 ... Ordinary Least Squares regression or Linear regressionby XLSTAT5,053 views · Linear ...
     
  4. Ordinary least squares - The Free Dictionary
    A method of determining the curve that best describes the relationship between expected and observed sets of data by minimizing the sums of the squares of ...
     
  5. Chapter 2: Ordinary Least Squares
    ECO391 Lecture Handout Over 15.3. Spring 2003, G. Hoyt. I. What is The Method of Least Squares(Ordinary Least Squares). A. Theory. B. Formula ...
     
  6. Ordinary Least-Squares
    Ordinary Least-Squares. Outline. Linear regression; Geometry of least-squares; Discussion of the Gauss-Markov theorem. One-dimensional regression ...
     
  7. Lecture 2: Ordinary Least Squares and the Simple Linear ...
    Lecture 2: Ordinary Least Squares and the Simple Linear. Regression Model. Key observation: If we plot observations n n. iXY i i. ,,1,, … = on a dependent ...
     
  8. Ordinary Least Squares for Simple Regression
    II.I.2 Ordinary Least Squares for Simple Regression. Assume the following relationship should be investigated by means of simple linear regression ...