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10.43ALinearEquations.pdf
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Linear regression for two variables is based on a linear equation with one independent variable, in the form Y = a + bX, where a and b are constant numbers, X is the independent variable, and Y is the dependent variable. The graph of a linear equation is a straight line, and the equation can be interpreted as a statement of cause and effect, with X as the cause and Y as the effect. The slope (b) describes the steepness of the line, and the Y-intercept (a) is the point where the line crosses the y-axis. Examples of linear equations include Y = 3 + 2X and Y = -0.01 + 1.2X.

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Linear regression for two variables is based on a linear equation with one independent variable, in the form Y = a + bX, where a and b are constant numbers, X...

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  • File Format: PDF
  • File Size: 73 KB
  • Pages: 3
  • Language: EN
  • Total Downloads: 337
  • Last Updated: 7 days ago

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