Monthly household income is a continuous quantitative variable. It can take on a wide range of values, including decimals, and is measured on a numerical scale. This variable can be used to analyze trends, make comparisons, and assess relationships with other economic factors.
The percentage that variable Y accounts for is 100*Variable Y/National Income
Just one criterion: it must be possible to put the levels of the variable in order. For example, people in a population might be categorised in terms of their incomes as low income, medium income and high income. In this instance, the income levels display an inherent ordering. Please see the link.
20%(food) + 23%(rent) + 42%(other expenses) = 85% food, rent, and other expenses is 85% of the income so then the savings is 15% of the family income 100% - 85% = 15%(savings) 360(savings) is 15% of the family income 15/100 = 360/x if 360 is 15% of the family income the total of the family income is 2400 20%(food) + 23%(rent) + 42%(other expenses) = 85% food, rent, and other expenses is 85% of the income so then the savings is 15% of the family income 100% - 85% = 15%(savings) 360(savings) is 15% of the family income 15/100 = 360/x if 360 is 15% of the family income the total of the family income is 2400
If the family saves $360, that represents 15 percent of their monthly income (since they spend 85 percent). To find the monthly income, you can set up the equation: 0.15 * Monthly Income = $360. By dividing $360 by 0.15, the monthly income is calculated to be $2,400.
Yes, family income is absolutely an example of a continuous variable. but zip code ,i think, is not a continuous variable
Household income is a quantitative variable, specifically a continuous variable, since it can take on a wide range of numerical values.
The independent variable in this case would be the passage of time or the years, as it is the variable that is being manipulated or controlled in the study to see its effect on the family average income.
Actually, it can be and is frequently treated as either. If the data is collected as a numerical value (for example, $35,500), then it is continuous. However, it is often simpler and more useful, especially in surveys, to collect the data as a set of ranges (20,000 - 29,999; 30,000 - 39,999; etc.). In this case, it would be an ordinal variable. Ordinal variables are discreet categories that still have a rank order.
Monthly household income is a continuous quantitative variable. It can take on a wide range of values, including decimals, and is measured on a numerical scale. This variable can be used to analyze trends, make comparisons, and assess relationships with other economic factors.
They are the variables that you think predict some outcome (which is considered the dependent variable). So you might have a theory that gender and age predicts personal income. Gender and age are the independent variables, and income is the dependent. The choice of whether a variable is independent or dependent often is driven by the question you're trying to answer. So in many cases it's possible that the same variable could be an independent variable in one analysis, but a dependent variable in a different analysis. For example, while income was the dependent variable in the earlier example, if you were trying to predict whether a child goes to college, the parents' income might be an important independent variable in that case.
No. Income is a quantitative variable since it is measured in numbers instead of categories.
A family budget generally reflects the family's income as well as the family's fixed and variable expenses. The fixed expenses will include food, rent and transportation costs.
Ordered variables give you more information than categoric variablesbut less information than continuous variables.An example of an ordered variable would besmall, medium or large lumps of http://wiki.answers.com/rc9-increase-surface-area.htm
The percentage that variable Y accounts for is 100*Variable Y/National Income
Variable
Income is discrete. People can have only a finite number of possible income values.