The scatterplot below shows Olympic gold medal performances in the long jump from 1900 to 1988. The long jump is measured in meters. The regression equation is - predicted long jump = 7.24 + 0.014(year since 1900) Describe the association. A. The scatterplot is nonlinear because there is too much variation in the data. B. There is a strong negative association between the amount of protein and the amount of fat that people consume. C. The scatterplot shows a curve. D. This scatterplot shows a moderately strong, positive, linear association between the years since 1990 and the distance of the long jump.
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.
The scatterplot below shows Olympic gold medal performances in the long jump from 1900 to 1988. The long jump is measured in meters.
The regression equation is - predicted long jump = 7.24 + 0.014(year since 1900)
Describe the association.
A. The scatterplot is nonlinear because there is too much variation in the data.
B. There is a strong negative association between the amount of protein and the amount of fat that people consume.
C. The scatterplot shows a curve.
D. This scatterplot shows a moderately strong, positive, linear association between the years since 1990 and the distance of the long jump.
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