B) 30
if you go down 1,000 then that means -10
if you go up 3,000 than that means +30
Correlation analysis is mostly used to determine whether a cause-effect relationship exists between two variables.
We have,
A statement to check which analysis is used by researcher,
So,
We know that,
The experimental method is the only method to attribute a cause and effect relationship as the researcher will hold one variable constant and 'experiment' with the other variable to see the effect.
Hence this is not upto the mark of given statement.
Now,
Regression analysis is used to determine the effect of one variable on the other.
Now,
We also know that,
Correlation analysis is mainly conducted by a researcher to determine whether a relationship exists between variables or not.
So,
The above mentioned statement satisfy the given statement.
Hence, we can say that the Correlation analysis is mostly used to determine whether a cause-effect relationship exists between two variables.
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The answer would be 24 yards. This would be 24 because 3 feet equal one yard so 3/72 is 24 or 24•3.
A strong positive correlation.
Step-by-step explanation:
The question requires you to calculate the correlation coefficient and then make a conclusion about its value.
Form a table as shown where x is cost of items and y is shipping cost
x y xy x² y²
25 5.99 149.8 625 35.9
45 8.99 404.6 2025 80.8
50 8.99 449.5 2500 80.8
70 10.99 769.3 4900 120.8
190 34.96 1773.2 10050 318.3 ------sum
The formula for correlation coefficient follows;
r=n(∑xy)-(∑x)(∑y) ÷ √{[n∑x²-(x)²] [n∑y²-(y)²]}
where n=4
r=4(1773.2)-(190)(34.96) ÷ √{[4(10050)-190²] [4(318.3)-34.96²]}
r=450÷ √{4100*51)
r=450÷√209100
r=450÷457.3
r=0.98409
The value of r indicates a stronger positive correlation
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Correlation coefficient :brainly.com/question/12528676
Keywords :shipping costs,cost of items, strength of the model
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