Using historical data and regression analysis has its limitations in business forecasting. For example, a significant correlation between the independent and dependent variable does not ...

Multiple regression models with survey data Regression becomes a more useful tool when researchers want to look at multiple factors simultaneously. If we want to know whether the racial divide ...

Demand analysis, for example, predicts how many units consumers will purchase. Many other key parameters other than demand are dependent variables in regression models, however.

The rationale for the use of sample survey weights in a least squares regression analysis is examined with respect to four increasingly general specifications of the population regression model. The ...

Multiple regression equations designed to explain or predict should be validated. This tutorial shows how recalculation of the coefficient of determination on hold-out sample data or new sample data ...

Course TopicsThis short course provides an introduction to regression analysis, a commonly used method to study the relationship between a response variable and one or more explanatory variables. The ...

Next, have Excel run the regression on the two columns of return data you generated. Under the Data menu, the Data Analysis button allows you to select Regression.