You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 27 18 64 24 52 36 24 23 65 32 55 28 20 34 33 23 Но: р %3D 0 На: р > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than a Less than (or equal to) a

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where not met in 200 iterations
You wish to determine if there is a positive linear correlation between the age of a driver and the number of
driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000.
Use a significance level of 0.01 and round all values to 4 decimal places.
Driver Age
Number of Driver Deaths per 100,000
27
18
64
24
52
36
24
23
65
32
55
28
20
34
33
23
Ho: p = 0
На: р > 0
Find the Linear Correlation Coefficient
r =
Find the p-value
p-value =
The p-value is
Greater than a
Less than (or equal to) a
Transcribed Image Text:where not met in 200 iterations You wish to determine if there is a positive linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age Number of Driver Deaths per 100,000 27 18 64 24 52 36 24 23 65 32 55 28 20 34 33 23 Ho: p = 0 На: р > 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = The p-value is Greater than a Less than (or equal to) a
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