Chapter 3: Q.1.3 (page 167)
Predict the rat’s weight after weeks. Show your work
Short Answer
The rat's weight after weeks grams
Chapter 3: Q.1.3 (page 167)
Predict the rat’s weight after weeks. Show your work
The rat's weight after weeks grams
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Get started for freeOil and residuals Refer to Exercise . The following figure shows a residual plot for the least-squares regression line. Discuss what the residual plot tells
The risks of obesity A study observes a large group of people over a -year period. The goal is to see if overweight and obese people are more likely to die during the study than people who weigh less. Such studies can be misleading because obese people are more likely to be inactive
and poor.
(a) What are the explanatory and response variables in the study?
(b) If the study finds a strong association between these variables, can we conclude that increased
weight causes a greater risk of dying? Why or why not?
The residual plot does not show a random scatter. Describe the pattern you see.
Beavers and beetles Do beavers benefit beetles? Researchers laid out circular plots, each meters in diameter, in an area where beavers were cutting down cottonwood trees. In each plot, they counted the number of stumps from trees cut by beavers and the number of clusters of beetle larvae. Ecologists think that the new sprouts from stumps are more tender than other cottonwood growth, so beetles prefer them. If so, more stumps should produce more beetle larvae. Here are the data:
Measurements
on young children in Mumbai, India, found this least-squares line for predicting height y from the arm span Measurements are in centimeters (cm).
By looking at the equation of the least-squares regression line, you can see that the correlation between height and arm span is
(a) greater than zero.
(b) less than zero.
(c)
(d)
(e) Can’t tell without seeing the data.
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