For each of the following case, tell whether the relationship is positive, negative or no correlation. 1. The more students enroll in a school, the more teachers are needed. 2. The wealthier a person is, the more friends he has. 3. A student who has many absences has a decrease in grades.
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.
For each of the following case, tell whether the relationship is positive, negative or no
1. The more students enroll in a school, the more teachers are needed.
2. The wealthier a person is, the more friends he has.
3. A student who has many absences has a decrease in grades.
4. As one increases in age, often one's agility decreases.
5. The longer your hair grows, the more shampoo you will need.
Trending now
This is a popular solution!
Step by step
Solved in 2 steps
