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 is 7 pigs and 4 chicks
pigs' legs = 7 x 4 = 28
chicks' legs = 4 x 2 = 8
28 + 8 = 36 legs
Answer:
25
Step-by-step explanation:
2400 dived by 96 is 25
Answer:
Step-by-step explanation:
sum of angles of triangle=180
90+50+B=180
B=180-140
<h2>B=40</h2>
sin50= 0pp/hyp
sin50= 24/c
c=24/sin 50
<h2>c=31.3</h2>
sin B= opp / hyp
sin 40 = b/c
<h2>b= 20.1</h2>
It’s 20 I believe. All together it should be 160 so you add 118 and 22 to get 140. Then subtract that from 160 and you get 20.