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Say we are interested in examining the linear relationship between the monthly labour hours required in a hospital (y), the monthly x-ray exposures (x1), monthly

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Say we are interested in examining the linear relationship between the monthly labour hours required in a hospital (y), the monthly x-ray exposures (x1), monthly occupied bed days (x2), and average length of stay (x3). We gather 10 observations, and input the data into Excel. We obtain the following output. Coefficients Standard Error t Stat Intercept 1134.56 221.49 5.12 X Variable 1 0.16 0.03 5.30 X Variable 2 0.27 0.12 2.26 X Variable 3 -147.93 39.53 -3.74 Based on this output, select the appropriate fitted regression equation (equation of the fitted regression line). = 1134.56 +0.16x1+0.27X2 -147.93x3 = 1134.56x1 +0.16X2 + 0.27X3 -147.93X4 V= 1134.56+0.16x1 OV= - 1134.56-0.16x1-0.27X2 + 147.93x3Suppose you wanted to test whether there was a significant linear relationship between average length of stay (x3) and monthly labour hours (y). Select the appropriate value of the test statistic. O 45.17 5.12 5.30 O -3.74

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