A doctor wished to determine whether a relation exists between the height of a female and her weight. She obtained the heights and weights of 9 females aged 18 to 24. Let height be the independent variable x, measured in inches, and weight be the dependent variable y, measured in pounds. 10. X 60 61 62 64 65 65 67 68 68 y 100 105 110 112 115 120 124 130 137 a) Use the regression capabilities of your graphing utility to find the equation of the line that best fits the data. Round to three decimal places. b) Use your equation to predict the weight of a woman whose height is 72 inches.
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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