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HWK 19 - an increase in late departures As seen in the...

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Homework 18 Problem #11 A) B) As there is an increase in the percentage of late arrivals there is an increase  in the percentage of late arrivals. C) SUMMARY OUTPUT Regression Statistics Multiple R 0.9 R Square 0.8 Adjusted R Square 0.79 Standard Error 1.64 Observations 13 ANOVA df SS MS F Significance F Regression 1 121.47 121.47 45.13 0 Residual 11 29.61 2.69 Total 12 151.08 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 2.42 2.71 0.89 0.39 -3.55 8.39 Arrive% 0.86 0.13 6.72 0 0.58 1.14 Late Departures % = .85 * Late Arrival % + 2.4 + Epsilon  D) There is a positive relationship between late arrivals and late departures.  Therefore, when you have an increase in the percentage of late arrivals there is also 
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Unformatted text preview: an increase in late departures. As seen in the scattergram as late arrivals percentage increases late departures increases as well showing that the trendline has a positve slope E) Late Departures % of Philidelphia = 21.24 The estimate of late departure percentage for Philidelpha is 21.24 % There is a possible error in our estimate because of epsilon. Epsilon is placed into the equation to allow for a MOE. As seen in the graph the trend line does not go through every point on the graph. 2 4 6 8 10 12 2 4 6 8 10 12 Percentage Of Late Arrivals and Departures Linear Regression for...
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