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Chapter 3: Q. 35 (page 191)
You use the same bar of soap to shower each morning. The bar weighs grams when it is new. Its weight goes down by grams per day on average. What is the equation of the regression line for predicting weight from days of use?
The equation is.
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Oil and residuals Refer to Exercise . The following figure shows a residual plot for the least-squares regression line. Discuss what the residual plot tells
In the chapter-opening Case Study (page ), the Starnes family arrived at Old Faithful after it had erupted. They wondered how long it would be until the next eruption. Here is a scatterplot that plots the interval between consecutive eruptions of Old Faithful against the duration of the previous eruption, for the month prior to their visit.
What information does the Starnes family need to predict when the next eruption will occur?
The figure below is a scatterplot of reading test scores against IQ test scores for fifth-grade children. There is one low outlier in the plot. The IQ and reading scores for this child are
(a) , reading = .
(b) , reading = .
(c), reading = .
(d) , reading = .
(e) , reading = .
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.
To determine the least-squares regression line:
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