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: 113=53 (This is a false equation, meaning that both sides are not equal to each other)
Explanation: I’m not sure what your answer choices are but to get that answer I first rewrote the equation with the variable “m” replaced with 6 since m=6. Therefore it should be 18(6)+5=6(6)+17. Then I multiplied 18 by 6 to get 108, to then add 5 to get 113. Following that, i then multiplied 6 by 6 to get 36 then added 17 to get 53. The equation would then look like 113=53 when solved.
G(x)= -3x+4
substitute x with -2
g(-2)= -3(-2)+4= 6+4=10
substitute x with 4
g(4)= -3·4+4= -12+4= -8
so g( -2)=10 and g(4) = -8
The value of g(-2) is larger than the value of g(4)
Subtract to find the weight she gained since birth.
32 - 8 = 24
Divide to see how many years passed.
24 / 4 = 6
Therefore, Darrel's baby sister is 6 years old.
Best of Luck!
Answer:
1.75
Step-by-step explanation:
Divide the ounces by 16 to get the value.