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Setting appropriate hypotheses for the coefficients

The regression equation used in this example regards the quantity of beer consumed (QB) as a function of: Domestic consumption of beer (QB) Real price of beer (PB) Real price of other alcoholic beverages (POTH Real per capita income (INC) Period (TIME) Based on actual data the following values for the coefficients as well as the standard errors of these coefficients [..] are given: QB= +1200 -15(PB) +5(POTH) -0.02(INC) +6(TIME) [200] [4] [3] [0.01] [3] R2 = 0.98; n = 35 You have to determine whether the explanatory variables are statistically significant or not. The first step is to set appropriate hypotheses for the coefficients.
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