A research team studied the relationships between income, education, age, and IQ in a sample of n = 30 individuals. The matrix shown below shows values for Pearson's r for the study with α=.05α=.05 Education Age IQ Income +.58 +.38 +.27 Education - +.11 +.39 Age - +.02 a) What are the degrees of freedom for the bivariate correlation between income and education? b) Is the correlation between income and education significant? Explain. Hint: Do not calculate t. Instead, refer to the table. c) Write the appropriate statement to express the result for the correlation between income and education.
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.
A research team studied the relationships between income, education, age, and IQ in a sample of n = 30 individuals. The matrix shown below shows values for Pearson's r for the study with α=.05α=.05
|
Education |
Age |
IQ |
|
|
Income |
+.58 |
+.38 |
+.27 |
|
Education |
- |
+.11 |
+.39 |
|
Age |
- |
+.02 |
|
a) What are the degrees of freedom for the bivariate
b) Is the correlation between income and education significant? Explain. Hint: Do not calculate t. Instead, refer to the table.
c) Write the appropriate statement to express the result for the correlation between income and education.
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