r = Step 1 State the hypotheses Step 2 Find the critical values Step 3 Compute the test value Step 4 Make the decision Step 5 Summarize the results

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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In a study on speed control, it was found that the main
reasons for regulations were to make traffic flow more
efficient and to minimize the risk of danger. An area that
was focused on in the study was the distance required
to completely stop a vehicle at various speeds. Use the
following table to answer the questions.
МPH
Braking distance (feet)
20
20
30
45
40
81
50
133
60
205
80
411
Test the significance of the correlation coefficient
at a=0.05
r =
Step 1 State the hypotheses
Step 2 Find the critical values
Step 3 Compute the test value
Step 4 Make the decision
Step 5 Summarize the results
:: 0.965
:: 0.659
:: 0.569
: Ho: p + 0; Ha: p = 0
:: Но: р 3 0%; На: р 2 0
:: Но: р — 0; На: р — 0
:: 7.359
:: 5.759
:: 3.569
:: ±2.776
:: ±2.811
:: ±2.364
: Reject the null
:: Fail to Reject
:: There is a significant linear relationship between the two variables
:: There is not a significance linear relationship between the two variables
Transcribed Image Text:In a study on speed control, it was found that the main reasons for regulations were to make traffic flow more efficient and to minimize the risk of danger. An area that was focused on in the study was the distance required to completely stop a vehicle at various speeds. Use the following table to answer the questions. МPH Braking distance (feet) 20 20 30 45 40 81 50 133 60 205 80 411 Test the significance of the correlation coefficient at a=0.05 r = Step 1 State the hypotheses Step 2 Find the critical values Step 3 Compute the test value Step 4 Make the decision Step 5 Summarize the results :: 0.965 :: 0.659 :: 0.569 : Ho: p + 0; Ha: p = 0 :: Но: р 3 0%; На: р 2 0 :: Но: р — 0; На: р — 0 :: 7.359 :: 5.759 :: 3.569 :: ±2.776 :: ±2.811 :: ±2.364 : Reject the null :: Fail to Reject :: There is a significant linear relationship between the two variables :: There is not a significance linear relationship between the two variables
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