Question

In: Economics

5. Under the Classical Linear Regression model assumptions, which one of the following is not a...

5. Under the Classical Linear Regression model assumptions, which one of the following is not a required assumption about the error term ui? *
a. There is no multicollinearity in the model
b. The variance of the error term is the same for all values of x.
c. The values of the error term are independent.
d. The error term is normally distributed.
6 If you find a positive value of the correlation coefficient it implies that the slope of the regression line: *
1 point
a. must also be positive
b. can be either negative or positive
c. can be zero
d. cannot be zero
8. Select from the following statements an equivalent expression for saying that the explanatory variable is "non-stochastic"? *
1 point
a. The explanatory variable is partly random
b. The explanatory variable is fixed in repeated samples
c. The explanatory variable is correlated with the errors
d. The explanatory variable always has a value of one
SECTION B: TRUE OR FALSE
State whether the statement is TRUE or FALSE
1. Correlation does not imply causation *
1 point
True
False
2. Panel data combines characteristics of time series and cross-sectional data *
1 point
True
False
3. The population regression function is usually used to estimate the sample regression function. *
1 point
True
False
4. The error term is a proxy of all variable we are aware of and all the variables we are ignorant about which should have been included in the model. *
1 point
True
False

Solutions

Expert Solution

5.Under the Classical Linear Regression model assumptions ,The variance of the error term is the same for all values of x , this assumption is not correct.

6 If you find a positive value of the correlation coefficient it implies that the slope of the regression line must also be positive

8.he explanatory variable is "non-stochastic" means  The explanatory variable is fixed in repeated samples

9. It is true that correlation does not imply causation all the time as if two things are correlated that does not mean one will be the cause of others

10. It is true that Panel data combines characteristics of time series and cross-sectional data

11. Actially the sample regression function is used to estimate population regression function thus the above statement is false.

12. It is true that The error term is a proxy of all variable we are aware of and all the variables we are ignorant about which should have been included in the model


Related Solutions

Discuss the main assumptions of a classical linear regression model.
Discuss the main assumptions of a classical linear regression model.
Discuss the underlying assumptions of a simple linear regression model; multiple regression model; and polynomial regression.
Discuss the underlying assumptions of a simple linear regression model; multiple regression model; and polynomial regression.
The classical linear regression model in econometrics is the equivalent of the model of perfect competition...
The classical linear regression model in econometrics is the equivalent of the model of perfect competition in price theory- Explain
If the errors in the classical linear regression model are NOT normally distributed is the OLS...
If the errors in the classical linear regression model are NOT normally distributed is the OLS estimator still "BLUE"? Please explain why, or why not.
Consider the classical IS-LM/AS-AD model under the assumptions of the misperceptions theory. A) Which graph represent...
Consider the classical IS-LM/AS-AD model under the assumptions of the misperceptions theory. A) Which graph represent the classical AS-AD model under the assumptions of the misperceptions theory? Which curve represents the SRAS curve? What about the LRAS and AD curves? B) Assume the economy is starting in general equilibrium. Using the classical AS-AD model with misperceptions, describe what will happen in the short-run and the long-run to output, the price level, and the expected price level, and when there is...
Which of the following is the complete definition of the simple linear regression model?
Which of the following is the complete definition of the simple linear regression model?
what are the assumption of classical linear regression model? Are these assumption useful for identifying characteristics...
what are the assumption of classical linear regression model? Are these assumption useful for identifying characteristics of OLS
Define and discuss the difference between linear regression and multiple regression. Are there any assumptions which...
Define and discuss the difference between linear regression and multiple regression. Are there any assumptions which must be met before using multiple regression?
Explain the use of the regression model assumptions?
Explain the use of the regression model assumptions?
Which of the following is a common Cause-and-Effect Forecasting Model?             Multiple Regression             Linear Trend...
Which of the following is a common Cause-and-Effect Forecasting Model?             Multiple Regression             Linear Trend Forecast             Moving Average Forecast             Mean Absolute Deviation The impact of poor communication and inaccurate forecasts resonates along the supply chain and results in theā€¦?             Carbonaro effect             Delphi effect             Bullwhip effect             Doppler effect Which of the following is not a New Product forecasting approach?             Time series forecast             Analog/looks like forecast             Judgement forecast with expert opinion            ...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT