List general assumptions of the classical linear regression

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Reference no: EM132395362

Assignment

The paper should have the following elements.

1. Identification of the problem/issue

2. Theorization of the problem to as much detail as possible

3. Construction the mathematical model

4. General assumptions about the linear regression model and the parameters for your model

5. Description, method of collection, and source(s) of data

6. References

DETAILS OF THE COMPONENTS

1. Identification of the problem/issue

State very clearly the problem/issue you are investigating. Mention why this is an interesting and important exercise. Also mention what you hope to learn at the end of your analysis and how your analysis might be helpful to others.

2. Theorization of the problem/issue

Give a theoretical description of the relationship between/among the variables in question to as much detail as possible. Example Keynesian consumption function.

3. Construction of the relevant mathematical/regression model

Present the variables and the relationship between/among them in mathematical form.

Define them and explain which is what.

Y_t = a + b Xt + U

4. Assumptions about linear regression model in general and the parameters of your model

List general assumptions of the classical linear regression model from your text.

Under your own theory, what do you assume about the relationship between/among the dependent and explanatory variables and the parameters of the model?

5. Description, method of collection, and sources of data

What kind of data you are going to use to estimate your model? Define your data. What is your sample size? Why is it so?

Give the detailed source(s) and/or collection method of data.

6. References

Cite all books, magazines, articles, websites etc.

Reference no: EM132395362

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