This column discusses some of the issues, assumptions, and limitations of ordinary least squares (OLS) regression, illustrated using an extraordinary data set. Issues, assumptions, and limitations of ...

Regression Model: A statistical method for estimating the relationship between the concentration of an analyte and its corresponding instrumental signal. Calibration Methods in Analytical ...

Using a variable linear regression, we can set a narrow channel at one standard deviation, or 68%, to create green channels. While there isn't a bell curve, we can see that price now reflects the ...

Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...