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The weights (in pounds) of eight vehicles and the variabilities of their braking distances (in feet) when stopping on a wet surface are shown in the table. At a = 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 wet surface? Weight, x 5990 5380 6500 5100 5880 4800 5500 Variability, y 2.93 2.40 4.02 1.84 2.81 2.53 2.35 5870 2.70 Setup the hypothesis for the test. Ho P=0 Ha P 0 Calculate the test statistic. t= (Round to two decimal places as needed.) Calculate the P-value. P-value (Round to three decimal places as needed.) What is your conclusion? the null hypothesis. There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between vehicle weight and variability in braking distance on a wet surface.

The weights (in pounds) of eight vehicles and the variabilities of their braking distances (in feet) when stopping on a wet surface are shown in the table. At a = 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 wet surface? Weight, x 5990 5380 6500 5100 5880 4800 5500 Variability, y 2.93 2.40 4.02 1.84 2.81 2.53 2.35 5870 2.70 Setup the hypothesis for the test. Ho P=0 Ha P 0 Calculate the test statistic. t= (Round to two decimal places as needed.) Calculate the P-value. P-value (Round to three decimal places as needed.) What is your conclusion? the null hypothesis. There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between vehicle weight and variability in braking distance on a wet surface.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The weights (in pounds) of eight vehicles and the variabilities of their braking distances (in feet) when stopping on a wet surface are shown in the table. At a = 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 wet surface? Weight, x 5990 5380 6500 5100 5880 4800 5500 Variability, y 2.93 2.40 4.02 1.84 2.81 2.53 2.35 5870 2.70 Setup the hypothesis for the test. Ho P=0 Ha P 0 Calculate the test statistic. t= (Round to two decimal places as needed.) Calculate the P-value. P-value (Round to three decimal places as needed.) What is your conclusion? the null hypothesis. There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between vehicle weight and variability in braking distance on a wet surface.
Transcribed Image Text:The weights (in pounds) of eight vehicles and the variabilities of their braking distances (in feet) when stopping on a wet surface are shown in the table. At a = 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 wet surface? Weight, x 5990 5380 6500 5100 5880 4800 5500 Variability, y 2.93 2.40 4.02 1.84 2.81 2.53 2.35 5870 2.70 Setup the hypothesis for the test. Ho P=0 Ha P 0 Calculate the test statistic. t= (Round to two decimal places as needed.) Calculate the P-value. P-value (Round to three decimal places as needed.) What is your conclusion? the null hypothesis. There enough evidence at the 5% level of significance to conclude that there a significant linear correlation between vehicle weight and variability in braking distance on a wet surface.
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