Answer:
I do believe it is B
Step-by-step explanation:
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:
3/2 but if you want mixed form then 1 1/2
All of the box numbers are decide by the bottom numbers. Ex: 3+4=7, the top box is seven above 3 and 4. So you would add 16 and 17 which is 33. The answer is 33.
Answer:
A) There are no Counts
B) I'll count the number of each type of nut.
Step-by-step explanation:
A) Yes, the Chi-square is not an appropriate method because the question gave us the weight of the nuts in grams and these are not counts. Whereas, the chi-square goodness-of-fit test requires that the data values are counts.
B) What i will do instead is that i will count the number of each type of nut and assume that the given percentages are also relevant for each type of nut.