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Seminar 2 Statdisk Assignment

# Seminar 2 Statdisk Assignment - Does the linear correlation...

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Seminar 2 Statdisk Assignment Name : For this Statdisk assignment I'd like you to find the best predicted braking distance for a car that weighs 4000 lbs. Once you are in Statdisk, use the Dataset in Elementary Stats 11th ed. for "car measurements. This dataset corresponds to Data Set 16 in Appendix B. Please see the Seminar 2 Statdisk Pointers document for some help walking you through this! Format: 1. Generate a scatterplot. The variables will be weights of cars (x) and the corresponding braking distances (y). 2. Using the prediction procedure, find the best predicted braking distance for a car that weighs 4000 lbs. For #2, first we need to find r the linear correlation coefficient for the data set. r for the weight and braking distances = __________ Next we need to find the critical value, so refer to Table A-6. We have paired data and n = 32. Critical value = _________
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Unformatted text preview: Does the linear correlation for the data support a linear correlation? The absolute value of r = ___(fill in) is greater than/ is less than (choose one of these statements) the critical value r = __(fill in): There is a linear correlation / there is not a linear correlation (choose one of these decisions) between the weight and braking distance. • If there is a linear correlation, then we input the necessary data into the prediction equation to find the best predicted value for braking distance for a vehicle weighing 4000 lbs. yhat = b0 + b1x • If there is not a linear correlation, then we use the sample mean for y as the best predicted braking distance. You'll need to calculate that. 3. Just for practice, find the regression equation, letting the first variable be the predictor (x) variable. yhat = b0 + b1x...
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