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Bookmark or Share- Linear regression review (article) | Khan AcademyLinear regression is a process of drawing a line through data in a scatter plot. The line summarizes the data, which is useful when making predictions. What is linear regression?
- The Complete Guide to Linear Regression AnalysisWith a simple calculation, we can find the value of β0 and β1 for minimum RSS value. With the stats model library in python, we can find out the coefficients, Table 1: Simple regression of sales on TV. Values for β0 and β1 are 7.03 and 0.047 respectively. Then the relation becomes, Sales = 7.03 + 0.047 * TV.
- A Refresher on Regression Analysis - Harvard Business ReviewA Refresher on Regression Analysis. Understanding one of the most important types of data analysis. You probably know by now that whenever possible you should be making data-driven decisions at work.
- Linear regression - WikipediaIn statistics, linear regression is a statistical model which estimates the linear relationship between a scalar response and one or more explanatory variables (also known as dependent and independent variables).
- What Is Regression? Definition, Calculation, and Example - InvestopediaRegression is a statistical measurement that attempts to determine the strength of the relationship between one dependent variable and a series of other variables.
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