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 29 years. Is the result within 5 years of the actual Best Actor winner, whose age was 43 years? Best Actress 29 30 28 64 32 32 44 29 61 22 43 54 Best Actor 43 38 36 45 52 49 62 52 39 52 46 33 Find the equation of the regression line. y=_______+(______)x (Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 43 years is _______ years old. (Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? (Yes or NO) the predicted age is (more than 5 years less than,5 years or less from, more than 5 years greater from) the actual winner's age.
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 29 years. Is the result within 5 years of the actual Best Actor winner, whose age was 43 years? Best Actress 29 30 28 64 32 32 44 29 61 22 43 54 Best Actor 43 38 36 45 52 49 62 52 39 52 46 33 Find the equation of the regression line. y=_______+(______)x (Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 43 years is _______ years old. (Round to the nearest whole number as needed.) Is the result within 5 years of the actual Best Actor winner, whose age was 44 years? (Yes or NO) the predicted age is (more than 5 years less than,5 years or less from, more than 5 years greater from) the actual winner's age.
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter5: Inverse, Exponential, And Logarithmic Functions
Section: Chapter Questions
Problem 52RE
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Question
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 29 years. Is the result within 5 years of the actual Best Actor winner, whose age was 43 years?
Best Actress
|
29
|
30
|
28
|
64
|
32
|
32
|
44
|
29
|
61
|
22
|
43
|
54
|
|
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Best Actor
|
43
|
38
|
36
|
45
|
52
|
49
|
62
|
52
|
39
|
52
|
46
|
33
|
|
Find the equation of the regression line.
y=_______+(______)x
(Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.)
The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 43 years is _______ years old.
(Round to the nearest whole number as needed.)
Is the result within 5 years of the actual Best Actor winner, whose age was 44 years?
(Yes or NO)
the predicted age is (more than 5 years less than,5 years or less from, more than 5 years greater from) the actual winner's age.
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