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HOW TO USE CORRELATION OF THE OFF DIAGONAL ELEMENTS OF THE COVARIANCE MATRIX TO DETECT MULTICOLINEARLITY
The following regression was estimated to explain the inflation rate in the USA. The data set contains annual observations from 1970 to 2010. Inft = 2500 + 50*Xt +
a. If 10,000 two-liter bottles of Pepsi are currently being demanded in your community each month, and the price increases from $1.90 to $2.10 per bottle, what will happen to quant
given the formula for f statistic prove that by using the f statistic you can derive this formula
Would you please advise me what would be the code in Eviews if I have first dependent variable in continuous data, second censor data and third discrete data in my system (structu
Paul's utility function is u(x, y) = xy 2 . Let unit prices be given by Px = 6 cents, Py = 2 cents, and assume that Paul's budget is the same as Peter's from the previous problem
Assume that the allowance Peter receives from parents is his only income. He used to spend $30 a month to buy Coke at $.60 per can. Coke is an inferior good for Peter. Further a
Currently the stock of Backstreet Toys (BT) is selling for $20 per share and the risk free rate is5%. a) Draw a payoff diagram for each of the following 3 portfolios: i. Buy
if there is no autocorrelation what will be done
Why use auxiliary regression? What are the benefits of using it?
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