This is linefitting with more than the two variables used in simple regression. The techique is used to predict one variable with the assistance of two or more predictor variables. See also Linefitting.
Statistical technique used to compare the responses of a mailing with census demographics and list characteristics of mailing lists. Used to direct mail to the best types of people or areas. This technique can also be used to analyse customers, subscribers, etc. NO
Statistical technique used to compare the responses of a mailing list with census demographics and list characteristics of mailing lists. Used to target mail to the best types of people or areas. This technique is also used to analyse customers, sub-scribers, etc. Outbound telemarketing Calls that are placed by a marketer, as opposed to inbound telemarketing where the customer calls in first Package test A test of one or more elements of a mailing package against another
A method for determining an optimal equation (least-squared difference between observed and predicted values for the response) for a response as a function of several inputs, y= b0 + b1 X1 + b2 X2 + b3 X3 + error.
Multiple Regression Analysis (MRA) is a statistical method to predict the market value of all properties as of the appraisal date, based on actual sales in comparable areas (neighborhoods). MRA models create adjustments based on the contributory value of characteristics such as quality, age, architectural style, and square footage.
Statistical technique used to measure the relationship between responses to a mailing and census demographics and list characteristics of one or more selected mailing lists. This is used to determine the best types of people/areas to whom to mail. This technique can also be used to analyze customers, subscribers, and so on.
Multiple regression is the appropriate method of analysis when the research problem involves a single metric dependent variable presumed to be related to one or more metric independent variables. The objective of multiple regression analysis is to predict the changes in the dependent variable in response to the changes in the several independent variables (Hair et al., 1995).