 # Expert Regression Analysis Homework Help by Custom Writing

August 7, 2017

## Expert Regression Analysis Homework Help by Custom Writing

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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.

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