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A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months), gender (0 = female, 1 = male) and job type (0 = clerical, 1 = technical). The following ANOVA summarizes the regression results: Df Ss Ms F Regression 3 1004346.771 334782.257 5.96 Residual 26 1461134.596 56197.48445 Total 29 2465481.367 56197.48445 Coefficients Standard Error T Stat P-Value Intercept 784.92 322.25 2.44 0.02 Service 9.19 3.20 2.87 0.01 Gender 222.78 89.00 2.50 0.02 Job -28.21 89.61 -0.31 0.76 In the regression model, which of the following are dummy variables? (a) Intercept (b) Service (c) Service and gender (d) Gender and job
Inflation in Sweden Figure Inflation in Sweden 1830 - 2010. Source: SCB. There are four aspects which are interesting when we look at inflation data for Sweden
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A public good: A) Generally results in substantial negative externalities. B) Can never be provided by a nongovernmental organization. C) Costs essentially nothing to prod
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Q. How to control Monetary policy? Remember that the money supply is equal to the money multiplier times the monetary base. We will presume that money multiplier is constant an
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The consumption function of an economy is given by c = 200+0.75(y-t) And the investment function by I = 200 = - 25r. Government purchases G and taxes Τ are both 100. T
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Use the laws of supply and demand to explain why the cost to heat our homes and businesses goes up in the winter time. Be sure to explain your answer fully. At least two paragraphs
Suppose the demand for guitars in State College is given by Qd = 9000 - 12P where Qd is the quantity demanded, and P is the price of guitars. Also, suppose the supply of guitars is
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