By Using the linear regression, find the predicted post-test score for someone with a score of 43 on the pre-test. Pre Post 59 56 52 63 44 55 51 50 42 66 42 48 41 58 45 36 27 13 63 50 54 81 44 56 50 64 47 50 55 63 49 57 45 73 57 63 46 46 60 60 65 47 64 73 50 58 74 85 59 44
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.
By Using the linear regression, find the predicted post-test score for someone with a score of 43 on the pre-test.
| Pre | Post |
| 59 | 56 |
| 52 | 63 |
| 44 | 55 |
| 51 | 50 |
| 42 | 66 |
| 42 | 48 |
| 41 | 58 |
| 45 | 36 |
| 27 | 13 |
| 63 | 50 |
| 54 | 81 |
| 44 | 56 |
| 50 | 64 |
| 47 | 50 |
| 55 | 63 |
| 49 | 57 |
| 45 | 73 |
| 57 | 63 |
| 46 | 46 |
| 60 | 60 |
| 65 | 47 |
| 64 | 73 |
| 50 | 58 |
| 74 | 85 |
| 59 | 44 |
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