Comparing value of test statistics

Reference no: EM1313955

Q1) 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 results given below will be helpful in reducing computation time:

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

2) Use tables to carry out F test for significance of each straight-line regression. Interpret your results

3) Compare value of test statistics F obtained in part(2) with value of t², square of test statistic for testing H₀: β₁ =0 that was needed in test null hypothesis that true slope is 0. Interpret the results of this test.

4) P- values for F test in part(2) and for t test in part(2) are same intuitively. Explain 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

Reference no: EM1313955

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