Yes, the correlation coefficient is statistically significance
The precise metric used in a correlation analysis to quantify the strength of the linear relationship between two variables is the correlation coefficient. In a correlation report, the r stands for the coefficient.
Given,
Sample size, n = 4
Where ρ is the population correlation.
Then the number of degrees of freedom is, df = n-2 = 4-2 = 2
The corresponding critical correlation value re for a significance level of a 0.01, for a two-tailed test is た= 0.254
Here,
The null hypothesis, = ρ - 0 is rejected
Suppose lr> re 0.254
Because on the sample correlation provided, we know that lrl = 0.835>=0.254.
Here, it is clear that the null hypothesis is rejected.
Learn more about correlation here: brainly.com/question/16970956
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Use one of the many Trigonometric ratios to solve for the missing angle and then use Pythagorean theorem to solve for the missing side.
These things can be done in any order.
56.25% as a decimal is 0.5625
0.5626 is equal to 5625/10000, which can be simplified to 9/16
This is because the common factor of 5625 and 10000 is 625. We divide the numerator and denominator by 625 to achieve 9/16.
6,537,830...........................
Yes I hope it helps and sorry if it’s wrong