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Anova: Two-Factor With Replication SUMMARY Fitness1 Fitness2 Fitness3 Total Age 40 Count Sum Average Variance 27612.5 29621.717. What is the value of the F test statistic for testing the hypothesis that fitness, on average, has no effect on running t

Anova: Two-Factor With Replication SUMMARY Fitness1 Fitness2 Fitness3 Total Age 40 Count Sum Average Variance 27612.5 29621.78544.5 30818.88 848.81058.6 1459.6 424.4529.3 729.8 561.1667 3367 Age 50 Count Sum Average Variance 11130.32 15931.13 48329.41 81373.3 5991332.3 1734.5 3665.8 2995666.15 867.25 610.9667 Age 60 Count Sum Average 826.65989.91282.1 1032.883 Variance 52715.05 2164.82 73497.78 68271.01 2 1653.3 1979.8 2564.26197.3 Total Count Sum Average516.85728.45 959.7167 Variance 78997.254302.79 90611.45 3101.14370.75758.3 ANOVA Source of Varid SS MS P-value F crit Sample806020.7 Columns 588779.4 Interactio 51989.25 Within 261547.3 2 403010.3 13.86783 0.001783 4.256495 2 294389.7 10.13013 0.004964 4.256495 4 12997.31 0.447245 0.772264 3.633089 9 29060.81 Total 1708337 17
17. What is the value of the F test statistic for testing the hypothesis that fitness, on average, has no effect on running time? 18. What is the value of the F test statistic for testing the hypothesis that the effect of age (if any) on running time does not depend of the runner's fitness?
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