Does decision making or happiness vary significantly by type of relationship?
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.
n a local community, a random sample of 18 couples has been assessed on a scale that measures the extent to which power and decision making are shared (lower scores) or monopolized by one party (higher scores) and on marital happiness (higher scores indicate higher levels of happiness). The couples were also classified by type of relationship: traditional (only the husband works outside the home), dual-career (both parties work), and cohabitational (parties living together but not legally married, regardless of work patterns). Does decision making or happiness vary significantly by type of relationship?
a. Decision Making
| Traditional | Dual-Career | Cohabitiational |
| 7 | 8 | 2 |
| 8 | 5 | 1 |
| 2 | 4 | 3 |
| 5 | 4 | 4 |
| 7 | 5 | 1 |
| 6 | 5 | 2 |
b. Happiness
| Traditional | Dual-Career | Cohabitiational |
| 10 | 12 | 12 |
| 14 | 12 | 14 |
| 20 | 12 | 15 |
| 22 | 13 | 17 |
| 23 | 15 | 18 |
| 24 | 20 | 22 |
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