Question

5) As the total amount of squared error of prediction increases, the correlation between the two variables:

1. also increases.
2. decreases.
3. becomes equal.
4. equals one.

6) If the slope (b) of the regression line equals zero, this indicates:

1. the correlation between the two variables is negative.
2. a perfect relationship between the two variables.
3. a correlation of +1.0.
4. the regression line is horizontal.

Answer 1

5)

Option(b) is the answer.

Fact:

As the total amount of squared error of prediction increases, the correlation between the two variable decreases.

Therefore, Option(b) is the answer.

6)

Option(d) is the answer.

Reason:

Regression equation y = a+bx.

If the slope (b) of the regression line equals zero, leads to y = a which is constant.

If the slope (b) of the regression line equals zero, this indicates the regression line is horizontal.

Therefore, Option(d) is the answer.

thank you.