In order to investigate the relationship between the frequency of buying clothes and gender was a market research. Accordingly, the following table has been created. If there is a relationship between the buying frequency and gender, you test the relevant hypotheses at a = 0.05 significance. Purchase Frequency (Weekly) Gender Male Gender Women <1 100 130 1-2 90 100 2-3 55 55 >3 25 55
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.
In order to investigate the relationship between the frequency of buying clothes and gender was a market research. Accordingly, the following table has been created. If there is a relationship between the buying frequency and gender, you test the relevant hypotheses at a = 0.05 significance.
| Purchase Frequency (Weekly) | Gender Male | Gender Women |
| <1 | 100 | 130 |
| 1-2 | 90 | 100 |
| 2-3 | 55 | 55 |
| >3 | 25 | 55 |
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