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Consider a Simple Linear Regression Model (SLRM) of the form y= a1+a2X+e where e ~ N(0,σ2)(Use the assumptions outlined in our class and available for review in the lecture notes posted on RamCT to answer the following questions)
(a) Identify the dependent variable in this model. Is it random? If so, how is it distributed (what is the mean and variance)? Is it observable or not?
(b) Identify the parameters of this model. Are they random? If so, how are they distributed (what is the mean and variance)? Is it observable or not?
(c) Identify the error term in this model. Is it random? If so, how is it distributed (what is the mean and variance)? Is it observable or not?
explain the method with an example
1. (a) Consider a perfectly competitive industry that produces a total output of 190 units in the long run. Suppose there are n identical firms in the market. Each firm then produc
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t-ratio under multicolinarity
what is law of denam?
Consider the following equations designed to estimate a school's test scores (Test) and the school's dropout rate (Drop). Test i = B 0 + B 1 *Parent Ed i + B 2 *school quali
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