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## Statistics

1. Find out the ANOVA tables for following regressions: (1) dry weight (Y) on age (X), and (2) log10 dry weight (Z) on age (X). The following results will be helpful in minimizing computation time:

S2y|x = 0.23218 SSY = 8.16811  S2z|x= 0.0007838  SSZ = 4.2276839

2. Employ the tables in part (a) to perform the F test for significance of each straight-line regression. Interpret your results

3. Compare value of test statistics F obtained in part (b) with value of t2, the square of test statistic for testing H0: β1 =0 that was required in test the null hypothesis that the true slope is 0. interpret the results of this test.

4. The p- values for F test in part(b) and for the t test in part(c) are the same. Intuitively. why does this make sense?

 inc time 5775 16.2 9800 35 13795 37.2 4120 9 25015 24.4 12200 36.75 7400 31.75 9340 30 20170 36 22400 30.8 4608 9.7 24210 20 19625 38.2 18000 41.25 13000 44 5400 9.2 6440 20 9000 40.2 18180 32 15385 39.2

Statistics and Probability, Statistics

• Category:- Statistics and Probability
• Reference No.:- M917854

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