The following model of water consumption is estimated with 1

The following model of water consumption is estimated with 15 observations from major metropolitan areas. Log(WATR) = -.326 + 0.305 log(HOUSE) + 0.3631og(PC)P) +0.051 log(PCY) -1.871og(PRICE) (.192) (.311) (.259) (.083) (1.49) R-squared = 0.95 F = 38.9 Numbers in parentheses are the standard errors of each estimated coefficient and F is the F-statistic for the hypothesis that all slope coefficients are equal to zero. The variables are WATR = total water consumption HOUSE = number of housing units POP = population PCY = per capita income PRICE = price of water per 100 cubic meters . Which slope coefficients are significantly different from zero by one-tailed tests at the 5% significance level? Justify the use of a one-tailed test in each case.

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