R-squared measures the proportion of the variation in your dependent variable (Y) explained by your independent variables (X) for a linear regression model. Adjusted R-squared adjusts the statistic based on the number of independent variables in the model. R2 shows how well terms (data points) fit a curve or line. Adjusted R2 also indicates how well terms fit a curve or line, but adjusts for the number of terms in a model. If you add more and more useless variables to a model, adjusted r-squared will decrease. If you add more useful variables, adjusted r-squared will increase. Adjusted R2 will always be less than or equal to R 2. You only need R2 when working with samples. In other words, R2 isn't necessary when you have data from an entire population.
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Match List-I (Commission/Commitee) with List-II (Chairman) and select the correct answer using the code given below the lists:
What was the total expenditure on education both by the Central and State Governments during the year 2002-03 as an approximate percentage of the Gross ...
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Which of the following can be classified as “Regulative labour laws”?
I. Factories act 1948
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Bathukamma is the official floral festival celebrated by women of which state?
Recently, Government disinvested stake in VSNL, IBP and IPCL to
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Which Country’s Supreme Court clears the way to decriminalize homosexuality in May 2023?
The provisions related to retrenchment are covered under which Act?