A linear regression model is said to be good when the r-squared value tends to 0, 1,-1 or 0.5
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Because the difference between values is very small that is why Linear regression model is good
Step-by-step explanation:
As we know that that the liner regression is a measure of variability of dependent variables.
it evaluates the scatter of the data . that what actual data is how far it is fitted from the regression line.
Value of R-squared is always between 0- 100% .
0% represents a that no variation. so the mean of dependent variable predicts two things.
1. Dependent variable
2. Regression model
100% represents a model that explains all of the variation in the response variable around its mean.
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