pprophate 2. If appropriate, calculate the correlation coefficient and interpret it. 3. Complete a 6 step hypothesis test at an alpha level of 0.05 to determine if a significant correlation exists age and monthly repair cost. Age 3 Cost 25 35 55 6. 50 11 75 14 85

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COMPLETE SIX STEPS The following data list ages of cars (in years ) and monthly repair cost . 1. View the scatter plot on your calculator to state whether a linear regression analysis is appropriate . 2. If appropriate, calculate the correlation coefficient and interpret it 3. Complete a 6 step hypothesis test at an alpha level of 0.05 to determine if a significant correlation exists age and monthly repair cost.
The following data list ages of cars (in years) and monthly repair cost.
1. View the scatter plot on your calculator to state whether a linear regression analysis is appropriate.
2. If appropriate, calculate the correlation coefficient and interpret it.
3. Complete a 6 step hypothesis test at an alpha level of 0.05 to determine if a significant correlation exists
age and monthly repair cost.
Age
Cost
3
25
35
55
9.
50
11
75
14
85
Transcribed Image Text:The following data list ages of cars (in years) and monthly repair cost. 1. View the scatter plot on your calculator to state whether a linear regression analysis is appropriate. 2. If appropriate, calculate the correlation coefficient and interpret it. 3. Complete a 6 step hypothesis test at an alpha level of 0.05 to determine if a significant correlation exists age and monthly repair cost. Age Cost 3 25 35 55 9. 50 11 75 14 85
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