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Learn how to derive and interpret the equation for a linear regression line that describes the relationship between an independent and a dependent variable. See examples, graphs, and formulas for simple and multiple regression.
Learn how to use linear regression to show the relationship between two variables by applying a linear equation to observed data. Find the formula for the slope, intercept, correlation coefficient and least-squares regression line, and their properties.
Feb 19, 2020 · Learn how to use simple linear regression to estimate the relationship between two quantitative variables. See the formula, examples, and assumptions of this parametric test, and how to perform it in R.
Jun 13, 2024 · Learn how to use linear regression to predict the value of unknown data using related data values. Find the formula, properties, coefficient and error of linear regression line and see solved questions.
Learn how to fit a line to data, find its equation and use it to make predictions. See examples, practice problems and tips on linear regression.
The case of one explanatory variable is called simple linear regression; for more than one, the process is called multiple linear regression. [1] This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable. [2]
May 24, 2020 · Photo by Ryan Searle on Unsplash. Introduction. In this article, we will analyse a business problem with linear regression in a step by step manner and try to interpret the statistical terms at each step to understand its inner workings.
