IDENTIFY THE INDEPENDENT AND DEPENDENT VARIABLES IN THIS EXAMPLE BELOW. In simple linear regression, a value of Y can be predicted by using just one predictor, or X value. While in multiple regression, to determine a value of Y, two or more predictor values will be used. A dependent variable is a value that can be affected by an independent variable, for example a person is cold, when we adjust the thermostat (the independent variable) we cause a change as to how cold or warm the person is. This further explains how the experimenter affects the independent variable, and not the dependent variable. In the example of the real estate agent using several variables, I see the following as dependent variables: Size and number of bedrooms. My reasoning is that these two items, can be determined rather easily and square feet of the dwelling, and number of rooms as a comparison tool against exact comparisons. While the independent variables would be location and condition, because these are more subjective than objective, and can be construed differently in terms of value. Provide two examples of situations in business, or your field, when regression is used. Explain each situation in detail. In my field, I would relate regression in terms of say, military systems that is equipment, perhaps a truck. The gas mileage of said truck is determined as 300 kilometers per 20 gallons of fuel at 50 mph. These would be dependent variables. Now say the same truck, would be driving, stopping, and idling at various speeds throughout the duration of the 20 gallons of fuel, these would be the independent variables. Simple regression could be used to determine the fuel average, in the first statement, and multiple regression would be used in the second statement.
