Chapter 3: Q.3.3 (page 176)
For which subject did the regression line overpredict fat gain by the most? Justify your answer.
Short Answer
The residual is negative ()it could be said that for the point the fat gain has been over predicted
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Chapter 3: Q.3.3 (page 176)
For which subject did the regression line overpredict fat gain by the most? Justify your answer.
The residual is negative ()it could be said that for the point the fat gain has been over predicted
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How much gas? Refer to Exercise . During March, the average temperature was °F and Joan used cubic feet of gas per day. Find and interpret the residual for this month.
We expect a car's highway gas mileage to be related to its city gas mileage. Data for all vehicles in the government's Fuel Economy Guide give the regression line predicted highway (city mpg).
(a) What’s the slope of this line? Interpret this value in context.
(b) What’s the intercept? Explain why the value of the intercept is not statistically meaningful.
(c) Find the predicted highway mileage for a car that gets miles per gallon in the city. Do the same for a car with a city mileage of mpg.
How much gas? Refer to Exercise . Would it be appropriate to use the regression line to predict Joan’s natural-gas consumption in a future month with an average temperature of °F? Justify your answer
56. Do heavier people burn more energy? Refer to Exercise
(a) Use your calculator to make a residual plot. Describe what this graph tells you about how well the line fits the data.
(b) Which point has the largest residual? Explain what the value of that residual means in context.
Here are the weights (in milligrams) of diamonds from a nodule carried up to the earth’s surface in surrounding rock. These data represent a single population of diamonds formed in a single event deep in the earth.

Make a graph that shows the distribution of weights of these diamonds. Describe the shape of the distribution and any outliers. Use numerical measures appropriate for the shape to describe the center and spread.
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