3 years ago

- Why is R2 important? in multiple regression

Mathematics

1 answer:

andriy [413]3 years ago

4 0

Answer:

R-squared is a statistical measure of how close the data are to the fitted regression line.

Step-by-step explanation:

It is also known as the coefficient of determination, or the coefficient of multiple determination for multiple regression. ... 100% indicates that the model explains all the variability of the response data around its mean.

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3 years ago

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3 years ago

X+y=0.5<br> x-y=1<br> elimination meathod

user100 [1]

Answer:

$x=0.75, y=-0.25$

Step-by-step explanation:

We can add the two equations to eliminate $y$ and solve for $x$ .

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Hope this helps :)

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3 years ago

- Why is R2 important? in multiple regression ​

- Why is R2 important? in multiple regression