Answer: to find it:
to find the mean: add up all of the numbers and divide by the number of numbers listed. ex: 2, 4, 9
2+4+9=15/3= mean = 5
Explanation:
Step 1: Collect the data for the two variables you want to determine the correlation for. The data should be continuous and normally distributed.
Step 2: Calculate the mean of both variables.
Step 3: Calculate the standard deviation of both variables.
Step 4: Calculate the covariance of the two variables using the formula below: `Cov(X, Y) = Σ [(Xi - Xmean) * (Yi - Ymean)] / (n-1)
Step 5: Calculate the correlation coefficient using the formula below: `r = Cov(X, Y) / (SD(X) * SD(Y))` where r is the correlation coefficient, Cov is the covariance, SD is the standard deviation, X is the first variable, Y is the second variable, Xi and Yi are the individual values of X and Y, X mean and Y mean are the means of X and Y, and n is the number of observations. The resulting value of r ranges from -1 to +1. A value of -1 indicates a perfect negative correlation, a value of 0 indicates no correlation and a value of +1 indicates a perfect positive correlation