model explains x-percent

1. Which diagnostic test allows the researcher to claim that her model explains x-percent of the variation in the dependent variable?

Durbin-Watson test.

Coefficient of Determination.

t-test on slope coefficient.

Sum of squared residuals.

None of the above.

2.

3. A company has computed a seasonal index for its quarterly sales. Which of the following statements about the index is not correct?

The sum of the four quarterly index numbers should be 4.

An index of .75 for the first quarter indicates that sales were 25 percent lower than the average quarterly sales.

In index of 1.1 for the second quarter indicates that sales were 10 percent above the average quarterly sales.

The index for any quarter must be between zero and 2. The average index for each of the four quarters should be 1.

4.

For the domestic car sales regression above, assume that: DCSP = $10,000PR= 10 percentand that it is the first quarter of the year.What will DCS be predicted to be by the regression model?

6,545.45

1,858.62

3,466.16

2,054.96

Question 5 Which of the following would indicate a perfect model fit?

R2= 1 or 100%

R2= 0.

Durbin-Watson = 2.

t-test for slope > 2.

None of the above.

6.

For the domestic car sales regression above, the “third quick check” shows what?

That is the adjusted R-square.

It shows that more than three-quarters of the variation in DCS is explained.

It shows that almost no serial correlation exists.

It shows that a great deal of seasonality exists in the data.

It shows that a small trend exists in the data.

7.

8.