Calculating the equation of a regression line
8:11
Khan Academy
Calculating the equation of a regression line
We determine the correlation coefficient for bivariate data, which helps understand the relationship between variables. We then build the equation for the least squares line, using standard deviations and the correlation coefficient. The regression line equation y hat = mx + b is calculated.
Jul 12, 2017
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mathswithmuza on Instagram: "Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. In its simplest form, simple linear regression examines how a single predictor variable relates to an outcome by fitting a straight line through the data. The line is chosen so that the sum of the squared differences, known as residuals, between the observed data points and the predicted values is minimized. This process, called
0:13
mathswithmuza on Instagram: "Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. In its simplest form, simple linear regression examines how a single predictor variable relates to an outcome by fitting a straight line through the data. The line is chosen so that the sum of the squared differences, known as residuals, between the observed data points and the predicted values is minimized. This process, called
Instagrammathswithmuza
115.8K views1 week ago
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