Bardi Trucking Co., located in Cleveland, Ohio, makes deliveries in the Great Lakes region, the Southeast, and the Northeast. Jim Bardi, the president, is studying the relationship between the distance a shipment must travel and the length of time, in days, it takes the shipment to arrive at its destination. To investigate, Mr. Bardi selected a random sample of 20 shipments made last month. Shipping distance is the independent variable and shipping time is the dependent variable. The results are as follows:
# | Shipment Distance Miles | Shipment time (days) | |
1 | 626 | 5 | |
2 | 801 | 11 | |
3 | 733 | 4 | |
4 | 640 | 3 | |
5 | 756 | 13 | |
6 | 790 | 8 | |
7 | 718 | 8 | |
8 | 652 | 3 | |
9 | 792 | 12 | |
10 | 629 | 4 | |
11 | 696 | 9 | |
12 | 718 | 10 | |
13 | 754 | 3 | |
14 | 648 | 4 | |
15 | 666 | 3 | |
16 | 831 | 10 | |
17 | 691 | 13 | |
18 | 822 | 9 | |
19 | 793 | 3 | |
20 | 784 | 11 |
QUESTION: State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)
Reject H0 if t > _______ I understand the answer is 2.552
Explain how to get the decision rule. In this case 2.552 ?
X | Y | X * Y | X2 | Y2 | |
626 | 5 | 3130 | 391876 | 25 | |
801 | 11 | 8811 | 641601 | 121 | |
733 | 4 | 2932 | 537289 | 16 | |
640 | 3 | 1920 | 409600 | 9 | |
756 | 13 | 9828 | 571536 | 169 | |
790 | 8 | 6320 | 624100 | 64 | |
718 | 8 | 5744 | 515524 | 64 | |
652 | 3 | 1956 | 425104 | 9 | |
792 | 12 | 9504 | 627264 | 144 | |
629 | 4 | 2516 | 395641 | 16 | |
696 | 9 | 6264 | 484416 | 81 | |
718 | 10 | 7180 | 515524 | 100 | |
754 | 3 | 2262 | 568516 | 9 | |
648 | 4 | 2592 | 419904 | 16 | |
666 | 3 | 1998 | 443556 | 9 | |
831 | 10 | 8310 | 690561 | 100 | |
691 | 13 | 8983 | 477481 | 169 | |
822 | 9 | 7398 | 675684 | 81 | |
793 | 3 | 2379 | 628849 | 9 | |
784 | 11 | 8624 | 614656 | 121 | |
Total | 14540 | 146 | 108651 | 10658682 | 1332 |
r = 0.5181
To Test :-
H0 :- ρ = 0
H1 :- ρ > 0
Test Statistic :-
t = (r * √(n - 2) / (√(1 - r2))
t = ( 0.5181 * √(20 - 2) ) / (√(1 - 0.2684) )
t = 2.5699
Test Criteria :-
Reject null hypothesis if t > t(α)
Critical value t(α,n-2) = t(0.01 , 20 - 2 ) = 2.552 ( from
t table )
t > t(α, n-2) = 2.5699 > 2.552
Result :- Reject null hypothesis
Decision based on P value
P - value = P ( t > 2.5699 ) = 0.0096
Reject null hypothesis if P value < α = 0.01 level of
significance
P - value = 0.0096 < 0.01 ,hence we reject null hypothesis
Conclusion :- We reject H0
There is sufficient evidence to support the claim that H1: ρ > 0.
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