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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
effect on of multicollinearity.
Problem 1. Consider the demand function Q(p 1 , p 2 , y) = p 1 -2 p 2 y 3 , where Q is the demand for good 1, p 1 is the price of good 1, p 2 is the price of good 2 and y is t
Factor that affect the volume of production
volatility
reasons of lags
In a year, weather can impose storm damage to a home. From year to year the damage is random. Let Y be the dollar value of damage in a given year. Assume that 95% of the year's Y=$
A chance sample of visitors to a National Park was interviewed regarding their impressions of the Park. Of 200 interviewees, 120 said that they would probably make a return visit
remedial measure of multicolinearity
David has £5000 that he wishes to save for six years. Bank A offers him an interest rate of 4% per annum compounded monthly. Bank B offers him an interest ra
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