Explain linear regression, like i am a newbie

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Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.

Linear regression is used to predict the value of a dependent variable based on the value of one or more independent variables.
It assumes a linear relationship between the independent and dependent variables.
The goal of linear regression is to find the best-fitting line that represents the relationship between the variables.
The line is determined by minimizing the sum of the squared differences between the observed values and the values predicted by the line.
For example, predicting house prices based on factors like size, location, and number of bedrooms is a common application of linear regression.

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