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Regression is a powerful statistical technique used to predict continuous outcomes by identifying the relationship between dependent and independent variables. In this video, we’ll dive into the basics of regression and explore how to implement and evaluate regression models for tasks like forecasting and trend analysis
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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
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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
Instagrammathswithmuza
204.3K views2 months ago