Suppose the following data show the rankings of 11 states based on expenditure per student (ranked 1 highest to 11 lowest) and student-teacher ratio (ranked 1 lowest to 11 highest). State Expenditure per Student Student-Teacher Ratio A 9 10 B 5 7 C 4 6 D 2 11 E 6 4 F 11 3 G 1 1 H 7 2 I 8 8 J 10 5 K 3 9 What is the rank correlation between expenditure per student and student-teacher ratio? (Round your answer to three decimal places.) Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to four decimal places.) p-value =
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.
| State | Expenditure per Student |
Student-Teacher Ratio |
|---|---|---|
| A | 9 | 10 |
| B | 5 | 7 |
| C | 4 | 6 |
| D | 2 | 11 |
| E | 6 | 4 |
| F | 11 | 3 |
| G | 1 | 1 |
| H | 7 | 2 |
| I | 8 | 8 |
| J | 10 | 5 |
| K | 3 | 9 |
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