The main reason to use Python is that you get a lot more options than what's included in most spreadsheets. Spreadsheets are ...

Compared to basic linear regression, linear regression with interactions can handle more complex data. Compared to other regression techniques that are designed to handle complex data, such as kernel ...

The first commands means, "Create a data frame object named mydf where the Age variable is set to 20, Politic is set to Mod, and Edu is set to 12." The second commands means, "Predict the value of the ...

Linear regression is a statistical method used to understand the relationship between an outcome variable and one or more explanatory variables. It works by fitting a regression line through the ...

In order to compliment my linear regression in google docs post (and because I keep forgetting how to do it), here is a quick and dirty guide to linear regression using python and pylab. First ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

That is the the basic form of linear regression by hand. Note that there ARE other ways to do this - more complicated ways (assuming different types of distributions for the data).

L. J. Wei, Z. Ying, D. Y. Lin, Linear Regression Analysis of Censored Survival Data Based on Rank Tests, Biometrika, Vol. 77, No. 4 (Dec., 1990), pp. 845-851 ...

Linear models are useful alternatives to the Cox (1972) proportional hazards model for analyzing censored regression data. This article develops empirical likelihood methods for linear regression ...