- 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.

You might be interested in

Identify the property: 3(9) + 3(7) = 3(9 + 7)

Aleks [24]

3(9) = 27
3(7) = 21
3(9+7) = 48
27+21 = 48
48=48

4 0

3 years ago

Read 2 more answers

Help plz no wrong answers plz help me ASAP thanks!

wariber [46]

Answer:

480

Step-by-step explanation:

The probability she will roll 2 odd numbers is 12/50 (the number of odd rolls over the total). This simplifies to 6/25

Multiply the probability times the total number of rolls to get a good estimate of the number of rolls that till be odd odd

6/25 * 2000 =480

5 0

3 years ago

What is the difference between polygons and quadrilaterals?

julia-pushkina [17]

A polygon cannot have curved sides. Examples of polygons include a triangle, square, rectangle, or any unnamed shape that is closed in, and has straight sides. ... A quadrilateral is a special kind of polygon that has exactly four sides that are all line segments.

$...$