(Choose all the correct answers, Note that points are deducted for each wrong an
ID: 3202555 • Letter: #
Question
(Choose all the correct answers, Note that points are deducted for each wrong answer)
The following is true for r2
1. It is obtained by squaring the correlation coefficient
2. The square root of which gives the correltion coefficient
3. Is a number between 0 and 1 as it is a proportion
4. Can only be meaningfully interpreted for certain types of regressions
5. Is also known as coefficient of determination
6. It describes how well the model fits the data as it tells you how much of the variation in the dependent variable is explained by the independent variable
Explanation / Answer
R-squared is a statistical measure of how close the data are to the fitted regression line. It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression.
The definition of R-squared is fairly straight-forward; it is the percentage of the response variable variation that is explained by a linear model. Or:
R-squared = Explained variation / Total variation
R-squared is always between 0 and 100%:
In general, the higher the R-squared, the better the model fits your data.
based on given difinition right answers are 1,3 and 5
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