Chapter 12: Q.1.2 (page 777)
Give the equation of the least-squares regression line. Define any variables you use.
Short Answer
The equation of the least-squares regression line is .
Chapter 12: Q.1.2 (page 777)
Give the equation of the least-squares regression line. Define any variables you use.
The equation of the least-squares regression line is .
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Get started for freeThe table below provides data on the political affiliation and opinion about the death penalty of randomly selected voters from a congressional district.
Which of the following does not support the conclusion that being a Republican and favoring the death penalty are not independent?
(a) (d)
(b) (e)
(c)
The slope of the population regression line describes
(a) the exact increase in the selling price of an individual unit when its appraised value increases by
(b) the average increase in the appraised value in a population of units when the selling price increases by \)51000.
(c) the average increase in selling price in a population of units when the appraised value increases by \( 1000.
(d) the average selling price in a population of units when a unit's appraised value is 0.
(e) the average increase in appraised value in a sample of 16 units when the selling price increases by \) 1000.
The swinging pendulum Mrs. Hanrahan’s precalculus class collected data on the length (in centimeters) of a pendulum and the time (in seconds) the pendulum took to complete one back-and-forth swing (called its period). Here are their data:
(a) Make a reasonably accurate scatterplot of the data by hand, using length as the explanatory variable. Describe what you see. (b) The theoretical relationship between a pendulum’s length and its period is
where is a constant representing the acceleration due to gravity (in this case, ). Use the graph below to identify the transformation that was used to linearize the curved pattern in part (a).
(c) Use the following graph to identify the transformation that was used to linearize the curved pattern in part (a).
Color words Let’s review the design of the study.
(a) Explain why this was an experiment and not an observational study.
(b) Did Mr. Starnes use a completely randomized design or a randomized block design? Why do you think he chose this experimental design?
(c) Explain the purpose of the random assignment in the context of the study. The data from Mr. Starnes’s experiment are shown below. For each subject, the time to perform the two tasks is given to the nearest second.
A residual plot from the least-squares regression is shown below. Which of the following statements is supported by the graph
(a) The residual plot contains dramatic evidence that the standard deviation of the response about the population regression line increases as the average number of putts per round increases.
(b) The sum of the residuals is not 0. Obviously, there is a major error present.
(c) Using the regression line to predict a player’s total winnings from his average number of putts almost always results in errors of less than .
(d) For two players, the regression line under predicts their total winnings by more than.
(e) The residual plot reveals a strong positive correlation between average putts per round and prediction errors from the least-squares line for these players.
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