Being able to make conclusions about data trends is one of the most important steps in both business and science. Through the magic of least sums regression, and with a few simple equations, we can ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

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Regression discrepancy-model equations fail to account for the common practice of obtaining more than one achievement score for a discrepancy area (e.g., reading comprehension). This article presents ...

Nonlinear regression is a form of regression analysis in which data fit to a model is expressed as a mathematical function.

If the dots tightly adhere to the zero baseline, the regression equation is reasonably accurate. If the dots are wildly scattered, the regression equation may have limited usefulness.

Scott Menard, Six Approaches to Calculating Standardized Logistic Regression Coefficients, The American Statistician, Vol. 58, No. 3 (Aug., 2004), pp. 218-223 ...

You will likely find approach (2) to be the most useful in practice because, in many cases, you will want to change the granularity of your categorical variables. A regression equation with a zillion ...