The amount of variance for y that is predicted by its relationship with x is 64%.
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How much variance is predicted?</h3>
Variance measures the rate of dispersion of a data point around the dataset. It can be calculated by finding the square of the standard deviation of a dataset. Variance measures the variation of a data set.
Correlation is a statistical measure used to measure the linear relationship that exists between two variables. The greater the correlation coefficient is closer to one, the greater the linear relationship that exists between the two variables. A positive correlation occurs when the two variables move in the same direction.
Variance = (correlation coefficient²) x 100
(0.80²) x 100
0.64 x 100 = 64%
To learn more about correlation, please check: brainly.com/question/27246345
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Answer:
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Step-by-step explanation:
Answer:
45/51
Step-by-step explanation:
SOH CAH TOA
Sin x = Opposite/hyp
Cos x = Adjacent/hyp
Tan x = Opposite/Adjac
Here we're looking for Sin R, so we want to find opposite side over the hypotenuse.
Thus,
Answer:
how many have you posted already-
Step-by-step explanation:
9(x^2 -16y^2) that is the answer