1. Fill in the blank: For these data, birthrates that are less than the mean of the birthrates tend to be paired with female life expectancies that are Choose one the mean of the female life expectancies. 2. Fill in the blank: According to the regression equation, for an increase of one (birth per 1000 people) in birthrate, there is a corresponding Choose one of 0.46 years in female life expectancy. 3. From the regression equation, what is the predicted female life expectancy (in years) when the birthrate is 45.6 births per 1000 people? (Round your answer to at least one decimal place.) 4. From the regression equation, what is the predicted female life expectancy (in years) when the birthrate is 26.5 births per 1000 people? (Round vour answer to at least one decimal place.)
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.
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