[All Steps] [9 points] Consider a Simple Linear Regression Model (SLRM) of the form Y=alpha _1+alpha _2X+e, where e ~ N(0, σ ^2). (Use the assumptions
Question: [9 points] Consider a Simple Linear Regression Model (SLRM) of the form \(Y={{\alpha }_{1}}+{{\alpha }_{2}}X+e\), where e ~ N(0, \({{\sigma }^{2}}\) ). (Use the assumptions outlined in our class and available for review in the lecture notes posted on RamCT to answer the following questions)
- [3 pts] Identify the dependent variable in this model. Is it random? If so, how is it is distributed (what is the mean and variance)? Is it observable or not?
- [3 pts] 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?
- [3 pts] 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?
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