In the case, where r-O, which means that as x increases, there appears to be no

Question

In the case, where r-O, which means that as x increases, there appears to be no particular pattern for the values of y, where x is independent variable and y is dependen variable 20. b. false 21. The population correlation coefficient (p) refers to the correlation betrareen a. Partially sclected values of two variables of interest in a population b. Partially excluded values of two variables of interest in a population c. All values of two variables of interest in a population d. All of the above Testing, the t value must be greater than the value of f in order to reject the null hypothesis and conclude that the population correlation coefficient is greater than a true b. false 23. Given the following two sample data sets, where X is independent variable and Y is dependent variable Calculate the sample Correlation Coefficient. 12 points

Explanation / Answer

Answer 20

TRUE

For any independent variable x and dependent variable y, when the correlation coefficient is r = 0, this means that there is no correlation between the independent variable and dependent variable.

Thus, we can say that any change in value of x is not showing any change in the value of variable y.

So, it is clear that there is no relationship between independent variable x and dependent variable y.

That's why the answer is TRUE.

If there is any positive relationship exists between independent variable x and dependent variable y, then the correlation coefficient r must be a positive value or greater than 0, but not 0

and  

If there is any negative relationship exists between independent variable x and dependent variable y, then the correlation coefficient r must be a negative value or smaller than 0, but not 0.

So, answer is TRUE

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