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 37 years? Best Actress 27 30 28 60 30 33 44 30 62 21 44 55 Best Actor 41 38 37 46 53 46 63 52 40 58 45 35 Find the equation of the regression line. (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 28 years is (Round to the nearest whole number as needed.) years old. Is the result within 5 years of the actual Best Actor winner, whose age was 37 years? V the predicted age is 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 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 37 years? Best Actress 27 30 28 60 30 33 44 30 62 21 44 55 Best Actor 41 38 37 46 53 46 63 52 40 58 45 35 Find the equation of the regression line. (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 28 years is (Round to the nearest whole number as needed.) years old. Is the result within 5 years of the actual Best Actor winner, whose age was 37 years? V the predicted age is the actual winner's age.
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Author:Bruce Crauder, Benny Evans, Alan Noell
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Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Question
Transcribed Image Text: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 37
years?
Best Actress
27
30
28
60
30
33
44
30
62
21
44
55
Best Actor
41
38
37
46
53
46
63
52
40
58
45
35
Find the equation of the regression line.
(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 28 years is
(Round to the nearest whole number as needed.)
years old.
Is the result within 5 years of the actual Best Actor winner, whose age was 37 years?
V the predicted age is
the actual winner's age.
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