## Expert Regression Analysis Homework Help by Custom Writing

Get the results you need with essays, dissertations and mentorship from the world's top writers and college tutors

Order in just 3 minutes!If computing a causal linear regression model of Y = a + bX and the resultant is very near zero, then one would be able to conclude that: (Points : 3)

Y = a + bX is a good forecasting method.

Y = a + bX is not a good forecasting method.

a multiple linear regression model is a good forecasting method for the data.

a multiple linear regression model is not a good forecasting method for the data.

none of the above.

2. The coefficient of determination resulting from a particular regression analysis was 0.85. What was the slope of the regression line? (Points : 3)

0.85

-0.85

0.922

There is insufficient information to answer the question.

None of the above.

3. The coefficient of determination resulting from a particular regression analysis was 0.85. What was the correlation coefficient? (Points : 3)

0.5

-0.5

0.922

There is insufficient information to answer the question.

None of the above.

4. Coefficient of determination is the percentage of the variation in the __________ variable that

results from the __________ variable. (Points : 3)

dependent, dependent

independent, dependent

dependent, independent

independent, independent

5. The overall significance of a regression model is tested using an F test. The model is significant if: (Points : 3)

the F value is low.

the significance level of the F value is low.

the R-squared value is low.

the slope is lower than the intercept.

6. A multiple regression model differs from a simple linear regression model because the multiple regression model has more than one: (Points : 3)

independent variable.

dependent variable.

intercept.

error.

7. __________ attempt to develop a mathematical relationship between the item being forecast

and factors that cause it to behave the way it does. (Points : 3)

Qualitative methods

Regression

Time series

Quantitative methods

8. The correlation coefficient resulting from a particular regression analysis was 0.25. What was the coefficient of determination? (Points : 3)

0.5

-0.5

0.0625

There is insufficient information to answer the question.

None of the above.

9. A good regression model should have: (Points : 3)

a low R-squared and a low significance level for the F test.

a high R-squared and a high significance level for the F test.

a high R-squared and a low significance level for the F test.

a low R-squared and a high significance level for the F test.

10. Which of the following statements is true about R-squared? (Points : 3)

It is also called the coefficient of determination.

It is also called the coefficient of variation.

It represents the percent of variation in X that is explained by Y.

It represents the percent of variation in the error that is explained by Y.

It ranges in value from -1 to + 1.

Order a homework assistance and solutions here