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.
apply graphing to linear relationships. (a) A doctor’s office wants to chart and graph the linear relationship between the hemoglobin A1c reading and the average blood glucose level. The equation G = 30h - 60 describes the relationship, in which h is the hemoglobin A1c reading and G is the average blood glucose reading. Complete this chart of values: (b) Label the horizontal axis h and the vertical axis G, then graph the equation G = 30h - 60 for h values between 4.0 and 12.0. (c) Use the graph from part (b) to approximate values for G when h = 5.5 and 7.5. (d) Check the accuracy of your readings from the graph in part (c) by using the equation G = 30h - 60.
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