Math  /  Data & Statistics

QuestionAnna Bischoff 12/03/24 10:44 AM Question 13, 9.1.33-T Part 2 of 4 HW Score: 66.33%,9.2966.33 \%, 9.29 of 14 points Points: 0 of 1 Save
The weights (in pounds) of eight vehicles and the variabilities of their braking distances (in feet) when stopping on a dry surface are shown in the table. At α=0.05\alpha=0.05, is there enough evidence to conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface? \begin{tabular}{|l|c|c|c|c|c|c|c|c|} \hline Weight, x\mathbf{x} & 5910 & 5360 & 6500 & 5100 & 5890 & 4800 & 5700 & 5870 \\ \hline Variability, y\mathbf{y} & 1.72 & 1.99 & 1.92 & 1.55 & 1.69 & 1.50 & 1.57 & 1.70 \\ \hline \end{tabular}
Setup the hypothesis for the test. H0:ρ=0Ha:ρ0\begin{array}{l} H_{0}: \rho=0 \\ H_{a}: \rho \neq 0 \end{array}
Calculate the test statistic. t=3.33\mathrm{t}=3.33 (Round to two decimal places as needed.)

Studdy Solution
Compare the test statistic with the critical values. Since 3.33>2.447 |3.33| > 2.447 , we reject the null hypothesis.
Conclusion: There is enough evidence to conclude that there is a significant linear correlation between vehicle weight and variability in braking distance on a dry surface.

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