Elementary Statistics
12th Edition
ISBN: 9780321836960
Author: Mario F. Triola
Publisher: PEARSON
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Chapter 10.3, Problem 16BSC
Regression and Predictions. Exercises 13-28 use the same data sets as Exercises 13-28 in Section 10-2. In each case, find the regression equation, letting the first variable be the predictor (x) variable. Find the indicated predicted value by following the prediction procedure summarized in Figure 10-5.
16. Altitude and Temperature At 6327 ft (or 6.327 thousand feet), the author recorded the temperature. Find the best predicted temperature at that altitude. How does the result compare to the actual recorded value of 48°F?
| Altitude | 3 | 10 | 14 | 22 | 28 | 31 | 33 |
| Temperature | 57 | 37 | 24 | −5 | −30 | −41 | −54 |
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Refer to the data set: Part a: Make a scatterplot and determine which type of model best fits the data.Part b: Find the regression equation, round to two decimal places if necessary.Part c: Use the equation from Part b to determine y when x = -3.6.
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 39 years?
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y(carety)=____ + ______x
The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years is _____ years old.
Number 16
Chapter 10 Solutions
Elementary Statistics
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