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(a) Describe all tests that you need to undertake prior to working with time series data.
(b) Consider the following regression result:
Standard Errors: (6.7525) (0.8229) (0.0807)
R-squared = 0.9835; R-bar square = 0.9631 df = 7 F-ratio= 102.40
where Y denotes consumption (in rupees); X1t denotes income (in rupees) and X2t denotes income to the square.
(i) What is the problem with this regression? Explain in details.
(ii) With reference to your answer to the above, how would you detect such problem?
(iii) A researcher wants to model the demand for Nokia mobiles in Mauritius. If you were the researcher, clearly provide a model type along with the expected signs for each of the variables you considered.
You are gambling. There is a white urn in front of you, which contains a total of 100 black and white balls. You are blindfolded, get to pick one ball randomly, and see which color
Regression Analysis
Consider a linear model to explain pricing of houses: Price = ß0 + ß1lotsize + ß2sqrft + ß3bdrms + u (1) E(u| lotsize, sqrft, bdrms)=0 Var (u| lotsize, sqrft, bdrms)=s2 lotsize4
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
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what is the source of heteroseedasticity
I could not understand the matrix of technical coefficents
#what is economics
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