hat is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 10 1 8 10 8 5 9 6 Score 87 58 72 75 77 71 85 78 Find the correlation coefficient: r=r= Round to 2 decimal places. The p-value is: (Round to four decimal places) r2 = (Round to two 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.
What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below.
| Time | 10 | 1 | 8 | 10 | 8 | 5 | 9 | 6 |
|---|---|---|---|---|---|---|---|---|
| Score | 87 | 58 | 72 | 75 | 77 | 71 | 85 | 78 |
- Find the
correlation coefficient : r=r= Round to 2 decimal places. - The p-value is: (Round to four decimal places)
- r2 = (Round to two decimal places)
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