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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?
I am trying to apply weighted least squares but Im not getting a very good fit when I regress the residuals on the variables so I don''t think the weights will be very good
My econometrics assignment is due for monday, August 18th. I''m running out of time and need a help to meet the deadline. I need answers for 4 problems from the basic econometrics.
My question is that when we use Impulse response function and how to use it. Is it used along with some other methodology. What is the meaning of graphs of IRF?
HOW TO USE CORRELATION OF THE OFF DIAGONAL ELEMENTS OF THE COVARIANCE MATRIX TO DETECT MULTICOLINEARLITY
Models of time series
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In a study relating college grade point average to time spent in various activities, students are asked how many hours they spend each week in four activities: studying, sleeping,
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