What happens to r square when we move from simple linear regression to multiple linear regression?
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the hcf and LCM of two number are 131 and 8253 respectively if one of the number is 917 find the other
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When a simple linear regression move to multiple linear regression
- R-squared values increased typically.
- when adding to a variable can never decrease .
- If the fit is not fully perfect, then adding a variable that represents random data will increase the r-squared value with probability
- R-squared is defined the % of the variable response and explained by a linear model.
- r-squared = Explained variation/Total variation
- Lying between 0 to 100%.
There are two possibility :-
- 0% of the model explains none of the variability of the response data around its mean.
- 100%of the variability of the response data around its mean.
Learn more about simple linear regression to multiple linear regression
Simple linear regression and multiple linear regression
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Explain the difference between simple linear and multiple linear regression.
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