What is a good r squared value for linear regression
explain what it means
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The r-squared value in regression measures how good the developed regression model fits the observed data. It gives the percentage of the variations in the dependent variable y that can be explained by the independent variable(s) x.
r-squared value ranges from 0 to 1. With a value of 0 indicating no fit and value of 1 indicating a perfect fit. A good r-squared value is that which is close to 1, ranging from 0.8 to 1.
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