This table shows the minutes students spent studying for their math exam and the scores they received. Study time (min) 15 10 30 12 17 43 61 8 25 31 40 Exam score 80 78 92 72 75 85 99 83 68 88 86 90 Use a graphing calculator to model the data using a linear function. What is the correlation coefficient of the data? O -0.75 O -0.40 O 0.49 O 087 20

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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.