This table shows the minutes students spent studying for their science exam and the scores they received. Study time (min) 19 12 34 10 17 42 60 15 9 21 30 50 Exam score 82 78 90 78 85 97 100 85 73 90 91 98 Use a graphing calculator to model the data using a linear function. What is the correlation coefficient of the data? −0.74 −0.48 0.93 0.98
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.
This table shows the minutes students spent studying for their science exam and the scores they received.
| Study time (min) | 19 | 12 | 34 | 10 | 17 | 42 | 60 | 15 | 9 | 21 | 30 | 50 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Exam score | 82 | 78 | 90 | 78 | 85 | 97 | 100 | 85 | 73 | 90 | 91 | 98 |
Use a graphing calculator to model the data using a linear
What is the
-
−0.74
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−0.48
-
0.93
-
0.98
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