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
#SPJ4
(A) The probability that you roll a 1 would be 1/6 because there are six sides of a dice and only one is a 1.
(B) The probability that you either roll a 1 or don't roll a 1 is 1/6 and 5/6, since the probability that you do roll a 1 is 1/6 and the probability that you don't is 5/6 since the other 5 sides of the dice are not ones.
(C) As stated above, the probability of not rolling a 1 is 5/6 since there are 6 sides of the dice and 5 are NOT ones.
Hope that helped!
recall that the perimeter is simply the sum of all outer sides of a figure.

Answer:
x=2.5&.5
Step-by-step explanation:
The quadratic formula is (-b+or-sqrt(b^2-4ac)/2a
12+or-sqrt((-12^2)-4(4)(5))
12+or-sqrt(144-80)
12+or-sqrt(64)
(12+8)/8 and (12-8)/8
x=2.5 and x=.5