The following data gives the number of hours 1010 students spent studying and their corresponding grades on their midterm exams. Hours Spent Studying 00 0.50.5 11 22 2.52.5 3.53.5 44 55 5.55.5 66 Midterm Grades 6363 7272 7575 7878 8181 8484 8787 9090 9393 9696 Copy Data Step 3 of 3 : Calculate the correlation coefficient, r. Round your answer to three decimal places.
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 following data gives the number of hours 1010 students spent studying and their corresponding grades on their midterm exams.
| Hours Spent Studying | 00 | 0.50.5 | 11 | 22 | 2.52.5 | 3.53.5 | 44 | 55 | 5.55.5 | 66 |
|---|---|---|---|---|---|---|---|---|---|---|
| Midterm Grades | 6363 | 7272 | 7575 | 7878 | 8181 | 8484 | 8787 | 9090 | 9393 | 9696 |
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