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 36 years? Best Actress 27 30 28 64 31 33 45 39 61 21 43 54 Best Actor 44 37 36 43 49 46 62 52 38 52 45 35 Find the equation of the regression line. ModifyingAbove y with caretyequals=?plus+ (?)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 28 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 36 years? No/yes ,the predicted age is more than 5 years greater than/5 yrs less from/more than 5 yrs less than/ the actual winner's age.
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.
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 36 years?
|
Best Actress |
27 |
30 |
28 |
64 |
31 |
33 |
45 |
39 |
61 |
21 |
43 |
54 |
|
|
Best Actor |
44 |
37 |
36 |
43 |
49 |
46 |
62 |
52 |
38 |
52 |
45 |
35 |
|
Find the equation of the regression line.
ModifyingAbove y with caretyequals=?plus+ (?)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
28 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 36 years?
No/yes ,the predicted age is more than 5 years greater than/5 yrs less from/more than 5 yrs less than/ the actual winner's age.
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