a sample study about food habits of a town, the data was obtained:
50 % persons were males
30 % were non-vegetarians
18 % male non-vegetarians
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Step-by-step explanation:
- Correlation is a statistical tool that studies the relationship between two variables e.g. change in price leads to change in quantity demanded.
- Correlation studies and measures the direction and intensity of relationships among variables.
- It measures co-variation, not causation. It does not imply cause and effect relation.
- Type of Correlation
- Correlation is classified into positive and negative correlation.
- The correlation is said to be positive when the variables move together in the same direction.
- e.g. sale of ice cream and temperature move in the same direction.
- The correlation is said to be negative when the variables move in the opposite direction.
- e.g. When you spend more time studying chances of your failure decline.
- Examples of positive correlation are:
1. Price and supply of a commodity.
2. Increase in Height and Weight.
3. Age of husband and age of wife.
4. The family income and expenditure on luxury items.
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