Compute co-efficient of correlation from the following given results: x =10, Edx = 0. Edy = 0, E(x-K) = 1350, Ety-7}?= 2180 and E(x-X) (y-y) =1590 %3D
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- For a correlation of -.64 between X and Y, each 1 _SD change in Zx corresponds to a predicted change of _____________SD in Zy.When the value of the correlation coefficient between heating time (X) and temperature (Y) obtained positive means (The faster the heating time and the lower the temperature) (The shorter the heating time, the lower the temperature) (The faster the heating time and the higher the temperature) (other)For a correlation of -64 between X and Y, each1-SD change in zx corresponds to a predicted change of __SD in zy
- In running a regression of the retunrs of stock XYZ against the returns on the market, the Std for the returns of stock XYZ is 20% and that of the market returns is 15%. If the estimated beta is found to be 0.75 : What is the correlation between the returns of the stock XYZ and those of the market ?A correlation of r=1.2 is not possible? Define?But the problem has provided us with the Spearman rank correlation of 0.679. Shouldn't I use that as my r value to calculate 95% CI?
- Imagine that there is a correlation of r = 0.65 between variable X and variable Y. Based on the correlation between these two variables (and only these two variables), what is a person's predicted value on variable Y, when his X value on variable X is a z score of 1.5? Please provide your answer as a z score with a minimum of three decimal places.The Pearson's r correlation between two variables X and Y is calculated to be 0.6. What can be concluded from this correlation coefficient about the relationship between X and Y?What would be an example of an impossible correlation coefficient? In other words, give a value of r that would lead you to suspect that the researcher made a mistake.
- show complete solution, use Pearson's r correlations .The value of correlation coefficient between variables X and Y lies between:A. 1 and 2B. 0 and 1C. -1 and +1D. -1 and 0Imagine a study where all our data (x, y) falls perfectly on a flat and straight horizontal line. If we calculated the correlation coefficient r for this data, what would it be? What would that mean for our hypotheses?