As x increases, y increases. correlation coefficient causation negative correlation positive correlation

As x increases, y decreases. positive correlation negative correlation no correlation correlation coefficient

The Pearson correlation coefficient between two variables, x and y, based on a random sample, is found to be -0.6.Question 15Which one of the following is always correct?For each increase in x of 10 units, y will reduce by 6 unitsFor each increase in y of 10 units, x will decrease by 6 unitsThere must be some causal factor between x and yIf 10 units were added to each y value the correlation coefficient would not change

Suppose there is a strong positive correlation between a and b. Which of the following must be true?A.An increase in a causes b to increase.B.When a increases, b tends to decrease.C.When a increases, b tends to increase.D.An increase in a causes b to decrease.SUBMITarrow_backPREVIOUS

The correlation of X with Y is 0.6. This might be explained by:Group of answer choicesAny of the other options are possible explanations.X causes YY causes XX does not cause Y and Y does not cause X

Consider the statement below:The divorce rate in Maine decreases with the per-capita consumption of margarine.Which relation best describes this statement?Accidental correlationCausationNegative correlationPositive correlation