DISCUSSION FOR REGRESSION AND CORRELATION ANALYSES Determine whether each statem

Question

DISCUSSION FOR REGRESSION AND CORRELATION ANALYSES Determine whether each statement is true or false. If the statement is false, explain why.

1. A negative relationship between two variables means that for the most part, as the x variable increases the y variable increases.

2. A correlation coefficient of –1 implies a perfect linear relationship between the variables.

3. When the correlation coefficient is significant, one can assume x causes y.

4. To test the significance of r, a(n) ______ test is used.

5. The test of significance for r has _______ degrees of freedom.

6. A statistical graph of two variables is called a ___________.

7. The x variable is called the ________ variable.

8. The range of r is from ____ to _____.

9. The sign of r and ____ will always be the same.

10. The regression line is called the ____________.

11. If all points fall on a straight line, the value of r will be ______ or ______.

Explanation / Answer

Negative relationship between two variables is just like indirect variation between these two that graph is always a line of form . So in negative relationship, if the values of x increase, the values of y decrease.

Thus this statement is FALSE.

Or answer of question (1) is FALSE.

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