A random sample of nonindustrialized countries was selected, and the life expectancy in years is listed for both men and women. Men 71.8 68.0 57.2 68.8 69.1 72.0 Women 65.2 67.3 45.0 66.3 68.1 60.2 The correlation coefficient for the data is r=0.829 and =α0.05. Should regression analysis be done? The correlation coefficient for the data is =r0.829 and =α0.05 . Should regression analysis be done? Find the equation of the regression line. Round the coefficients to at least three decimal places.
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.
Life Expectancies A random sample of nonindustrialized countries was selected, and the life expectancy in years is listed for both men and women.
| Men |
71.8
|
68.0
|
57.2
|
68.8
|
69.1
|
72.0
|
|---|---|---|---|---|---|---|
| Women |
65.2
|
67.3
|
45.0
|
66.3
|
68.1
|
60.2
|
The
The correlation coefficient for the data is
and
. Should regression analysis be done?
|
|
|
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