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You are interested in estimating the following model
Y = ao+a2X2 +a2X2+u
However, you have detected an exact linear relationship between the explanatory variables so that X2=200-3X1. Rewrite the model to show that this is in fact a two-variable model rather than a three-variable model. Define the parameters (the constant and the slope).
Fit a multiple regression model of y on x1 and x2. Fit two simple linear regressions: (I) y on x1; (II) y on x2. Compare the results of multiple regression analysis with each of simple linear regressions.
How do you interpret the effect of immigrant status on wages when the model is Log wages regressed on immigrant dummy, and an immigrant dummy interaction
You have given the following data about the amount your firm can manufacture per day given the number of workers it hires.
The given information is the quarterly sales of gasoline in the U.S. in millions of barrels during part of the 1980s and the 1990s. Determine the linear trend and use it to forecast sales for first quarter of 1992.
Determine the economic activity that takes place in Underground Economy have any impact upon any Economic Indicator.
In the name of Simon Kuznets is the concept that the relationship in GDP and inequality is nonlinear. Kuznets hypothesized three phases in economic development.
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:
Using the similar 6-economic indicators selected for your Industry Overview Paper, differentiate at least two year forecasts from two separate sources,
A company's marketing dept. obtained information from 10 of the firm's outlets. The information consists of the qty. and price of the products sold at each outlet from the distribution center.
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.
The presence of autocorrelation leads to all of the following undesirable consequences in the regression results except:
I have a time series set of data of workers in motor vehicle industry from 1972-2001 as well as average weekly hours of workers in motor vehicle industry
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