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Multicollinearity refers to the existence of correlation among the independent variables in a multiple regression model. Discuss how multicollinearity can impact your regression analysis. How do you identify it? What do you do in response to identifying a multicollinearity problem?
Design a simple econometric research project
A multiplicative demand function form: Qd= a*P^b1*Y^b2*Po^b3 is determine using cross sectional data and 224 observations. The regression results were given below:
Despite very low growth of GDP in 2008 and 2009, and still high unemployment rate of 9.5 percent in June 2010.
The joint probability distribution on the returns of two securities X and Y is demonstrate in the table below.
Using the similar 6-economic indicators selected for your Industry Overview Paper, differentiate at least two year forecasts from two separate sources,
Determine the effect of mandated health insurance profits be on the labor if the employees do not place any value on the benefits? What if they do place value on the profits?
The coefficient of determination for a regression relationship defined through Y = a + bX is 81 percent.
If beta of portfolio is .326, the present yield to maturity on United States government bonds maturing in one year and an assessment that market risk premium.
Graphically demonstrate the production possibilities frontier for nation of Stromboli, using information given in the following table.
The local operations manager for IRS must decide whether to employee 1, 2, or 3 temporary employees. He determine that net revenues will vary with how well taxpayers comply with new tax code.
Overheard at water cooler: My regression model of demand is better than one that the consultant prepared for us because it has a higher R2.
Using the two economic indicators selected for your Housing Industry Overview Paper assignment, Compare and contrast at least two different eighteen month forecasts for each of the 2-economic indicators.
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