Question: 1. Interpret the Regression Equation 2. Interpret the Standard Error of the individual coefficient 3. Interpret the Coefficient of Determination R2 4. Perform at Test

1. Interpret the Regression Equation 2. Interpret the Standard Error of the individual coefficient 3. Interpret the Coefficient of Determination R2 4. Perform at Test on the individual coefficients 5. Perform an F Test on the overall model 612 STATISTICS FOR BUSINESS AND ECONOMICS FIGURE 14.22 MINITAR OUTPUT FOR THE DATA SET WITH A HIGH LEVERAGE OBSERVATION SELFI The regression equation is Y-127 - 0.425 Predictor Coef Coet Constant 127.466 2.96143.040.000 X -0.42507 0.09537 -0.46 0.00% co fill R29.99 Reglad) - 75.94 Analysis of variance 0.007 SOURCE Regression Residual or Total D MS 7 P 143.65 473.65 19.87 0.007 5 119.21 23.84 6592.86 Dual Obervations Obs x Plt SH Fit Mediat St Reid 770.0 100.00 97.7 1.91 x X denotosan boervation whose X value gives it large info SELF test Exercises Methods S. Consider the following data for two variables and * 115 110 150 145 155 160 120 145 100 120 120 130 130110 # Compute the standardized residents for these data. Dotre appear to in the data Explain Mot the standendured residuals again. Does this plot revealiny Develop a scatter diagram for these data. Des the scatter diagra indi Tiers in the data in general, what implication does this finding have for cofild 31. Consider the following data for two variables, and 12 14 16 18 20 24 19 Compute the standardized residuals for these data. Do there appear to in the data? Explain h. Compute the leverage values for these dataDate appear to be any servations in these data? Explain. c Develop a scatter diagram for these data. Dees the cutter diagram ini catat bervations? Explain

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