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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 0.05 and round all values to 4 decimal places. Driver Age 67 45 80 80 50 41 40 Ho: p = 0 Ha: p > 0 r = Find the Linear Correlation Coefficient Find the p-value p-value= The p-value is Number of Driver Deaths per 100,000 Greater than a Less than (or equal to) a The p-value leads to a decision to Accept Ho O Do Not Reject Ho O Reject Ho The conclusion is 18 34 20 22 25 21 33 There is a significant linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion. about the linear correlation between driver age and number of driver deaths.

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 0.05 and round all values to 4 decimal places. Driver Age 67 45 80 80 50 41 40 Ho: p = 0 Ha: p > 0 r = Find the Linear Correlation Coefficient Find the p-value p-value= The p-value is Number of Driver Deaths per 100,000 Greater than a Less than (or equal to) a The p-value leads to a decision to Accept Ho O Do Not Reject Ho O Reject Ho The conclusion is 18 34 20 22 25 21 33 There is a significant linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation between driver age and number of driver deaths. There is a significant negative linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion. about the linear correlation between driver age and number of driver deaths.

Calculus For The Life Sciences
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter4: Calculating The Derivative
Section4.CR: Chapter 4 Review
Problem 88CR
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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 0.05 and round all values to 4 decimal places. Driver Age 67 45 80 80 50 41 40 r = Ho: p = 0 Ha: p > 0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Number of Driver Deaths per 100,000 Greater than a O Less than (or equal to) a The p-value leads to a decision to Accept Ho Do Not Reject Ho O Reject Ho The conclusion is 18 34 20 22 25 21 33 ● There is a significant linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths.
Transcribed Image Text: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 0.05 and round all values to 4 decimal places. Driver Age 67 45 80 80 50 41 40 r = Ho: p = 0 Ha: p > 0 Find the Linear Correlation Coefficient Find the p-value p-value = The p-value is Number of Driver Deaths per 100,000 Greater than a O Less than (or equal to) a The p-value leads to a decision to Accept Ho Do Not Reject Ho O Reject Ho The conclusion is 18 34 20 22 25 21 33 ● There is a significant linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation between driver age and number of driver deaths. O There is a significant negative linear correlation between driver age and number of driver deaths. There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths.
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