If the covariance is 1225, variance of x is 1600,variance of y is 2500 then the correlation coefficient between x and y is 0.6125.
Given the covariance is 1225, variance of x is 1600,variance of y is 2500.
We have to find the correlation coefficient between x and y.
Covariance is basically a measure of the joint variability of two random variables.
Variance is a basically a measure of dispersion, meaning it is a measure of how far a set of numbers is spread out from their average value.
The correlation coefficient is basically the specific measure that quantifies the strength of the linear relationship between two variables in a correlation analysis.
We know that the formula of correlation coefficient is as under:
r=
r=1225/
r=1225/(40*50)
r=1225/2000
r=0.6125
Hence if the covariance is 1225, variance of x is 1600,variance of y is 2500 then the correlation coefficient between x and y is 0.6125.
Learn more about correlation coefficient at brainly.com/question/4219149
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Answer:
Step-by-step explanation:
<u>We know that:</u>
- -4 + x = 16 [x = difference between two temperatures]
<u>Solution:</u>
- -4 + x = 16
- => x = 16 + 4
- => x = 20
Hence, the difference between the two temperatures is 20°.
Answer: 4x^2 - 10x - 6
Step-by-step explanation:
You can use FOIL to do this. First terms, Outer terms, Inner terms, Last terms.
(x - 3)(4x + 2)
First terms: x * 4x = 4x^2
Outer terms: x * 2 = 2x
Inner terms: -3 * 4x = -12x
Last terms: -3 * 2 = -6
Now add these together:
4x^2 + 2x - 12x - 6 = 4x^2 - 10x - 6
It is 2%
I just took the quiz and yea so its 2%
Answer:
just add those together and u should get yo answer