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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?
kindly help in in doing the assignment
Consider an equation to explain salaries of CEOs in terms of annual firm sales, return on equity (ROE, in percent form), and return on the firm's stock (ROS, in percent form): L
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diff between Mrs and Mrts
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Assume the price elasticity of cigarettes is 0.25. By how much would prices have to increase to get a 20% reduction on smoking?
give detail example about them?
effect on of multicollinearity.
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