The following table shows a recent study on the relationship between gender and preference for fried food: Likes Fried Food Does Not Like Fried Food TOTALS Male 220 180 400 Female 80 90 170 TOTALS 300 270 570 If a person is randomly selected and if that person is male what is the probability that he likes fried food and Evaluate whether gender and preference for fried food are independent in this case.
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 following table shows a recent study on the relationship between gender and preference for fried food:
|
|
Likes Fried Food |
Does Not Like Fried Food |
TOTALS |
|
Male |
220 |
180 |
400 |
|
Female |
80 |
90 |
170 |
|
TOTALS |
300 |
270 |
570 |
If a person is randomly selected and if that person is male what is the probability that he likes fried food and Evaluate whether gender and preference for fried food are independent in this case.
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