The researcher measures the relationship between the number or interruptions in class and time spent on a task in minutes. Answer the following based of the results provided. number of interuptions daily excercise 8 18 3 40 6 20 2 32 1. Compute the Pearson correlation coefficient 2. Multiply each measurement of interruptions by 3 and recalculate the correlation coefficient. 3. Divide each measurements in half for a time on task and recalculate the correlation coefficient 4. True or false, multiplying or dividing a positive constant by one set of scores (X or Y) does not change the correlation coefficient.
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.
- The researcher measures the relationship between the number or interruptions in class and time spent on a task in minutes. Answer the following based of the results provided.
number of interuptions | daily excercise |
8 | 18 |
3 | 40 |
6 | 20 |
2 | 32 |
1. Compute the Pearson
2. Multiply each measurement of interruptions by 3 and recalculate the correlation coefficient.
3. Divide each measurements in half for a time on task and recalculate the correlation coefficient
4. True or false, multiplying or dividing a positive constant by one set of scores (X or Y) does not change the correlation coefficient.
Trending now
This is a popular solution!
Step by step
Solved in 3 steps