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You wish to determine if there is a 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 44 77 20 55 16 77 Ho: p = 0 Ha: p = 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = Number of Driver Deaths per 100,000 32 22 22 28 22 30 The p-value is O Greater than a O Less than (or equal to) a The p-value leads to a decision to O Do Not Reject Ho O Reject Ho O Accept Ho W The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. O There is a significant 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.

You wish to determine if there is a 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 44 77 20 55 16 77 Ho: p = 0 Ha: p = 0 Find the Linear Correlation Coefficient r = Find the p-value p-value = Number of Driver Deaths per 100,000 32 22 22 28 22 30 The p-value is O Greater than a O Less than (or equal to) a The p-value leads to a decision to O Do Not Reject Ho O Reject Ho O Accept Ho W The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. O There is a significant 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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 15PPS
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You wish to determine if there is a 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 44 77 20 55 16 77 r = Ho: p = 0 Ha: p = 0 Find the Linear Correlation Coefficient Find the p-value p-value = Number of Driver Deaths per 100,000 32 22 The p-value is O Greater than a O Less than (or equal to) a 22 28 22 30 The p-value leads to a decision to O Do Not Reject Ho O Reject Ho Accept Ho W The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. O There is a significant 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.
Transcribed Image Text:You wish to determine if there is a 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 44 77 20 55 16 77 r = Ho: p = 0 Ha: p = 0 Find the Linear Correlation Coefficient Find the p-value p-value = Number of Driver Deaths per 100,000 32 22 The p-value is O Greater than a O Less than (or equal to) a 22 28 22 30 The p-value leads to a decision to O Do Not Reject Ho O Reject Ho Accept Ho W The conclusion is O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. There is a significant positive linear correlation between driver age and number of driver deaths. O There is a significant 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.
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