4. Can the speed of a vehicle be predicted by the age of its driver? The speeds Y (in km/h) of a sample of ten vehicles are recorded, along with the ages X of their drivers. From the data, we...


4. Can the speed of a vehicle be predicted by the age of its driver? The speeds Y (in<br>km/h) of a sample of ten vehicles are recorded, along with the ages X of their drivers.<br>From the data, we calculate i = 48.2, j = 107.8, (z:-2)² = 3669.6, (4- û)° =<br>752.7. The least squares regression line is calculated to be ŷ = 133.198 – 0.527x.<br>It is also determined that 57.5% of the variation in the speed of a vehicle can be<br>accounted for by its regression on the age of the driver.<br>(a) What is the value of the correlation between the age of a driver and the speed<br>of a vehicle?<br>(b) Provide an interpretation of the slope of the least squares regression line.<br>(c) Calculate a 95% confidence interval for the parameter 31 in the simple linear<br>regression model.<br>(d) We would like to conduct a hypothesis test at the 5% level of significance to<br>determine whether a linear relationship exists between the age of a driver and<br>the speed of a vehicle. Could the confidence interval in (c) have been used<br>to conduct the test? Why or why not? If it could be used, what would the<br>conclusion be, and why?<br>

Extracted text: 4. Can the speed of a vehicle be predicted by the age of its driver? The speeds Y (in km/h) of a sample of ten vehicles are recorded, along with the ages X of their drivers. From the data, we calculate i = 48.2, j = 107.8, (z:-2)² = 3669.6, (4- û)° = 752.7. The least squares regression line is calculated to be ŷ = 133.198 – 0.527x. It is also determined that 57.5% of the variation in the speed of a vehicle can be accounted for by its regression on the age of the driver. (a) What is the value of the correlation between the age of a driver and the speed of a vehicle? (b) Provide an interpretation of the slope of the least squares regression line. (c) Calculate a 95% confidence interval for the parameter 31 in the simple linear regression model. (d) We would like to conduct a hypothesis test at the 5% level of significance to determine whether a linear relationship exists between the age of a driver and the speed of a vehicle. Could the confidence interval in (c) have been used to conduct the test? Why or why not? If it could be used, what would the conclusion be, and why?

Jun 07, 2022
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