In this linear model the fare constant linear coeficients of the independent variables that indicate the conditional effect of each independent variable on the determination of the dependent variable, y, in the population. Thus, the fidents are parameters in the linear regression model. A series of production runs would then be made to obtain marms of various combination of in dependent and dependent variables See the discussion of experimental terinin Section 13.2.) u14 Example 12.2 Store Location (Model Specification) The director of planning for a large mailer was dinated with the company store development experience in the past year 25% of new to filled to obtain the projected sales within the year trial period and were done with substantial economic losses. The director wanted to develop better criteria for choosing store loca time and decided that the historical experience of successful and customs should be studied In this linear model the fare constant linear coeficients of the independent variables that indicate the conditional effect of each independent variable on the determination of the dependent variable, y, in the population. Thus, the fidents are parameters in the linear regression model. A series of production runs would then be made to obtain marms of various combination of in dependent and dependent variables See the discussion of experimental terinin Section 13.2.) u14 Example 12.2 Store Location (Model Specification) The director of planning for a large mailer was dinated with the company store development experience in the past year 25% of new to filled to obtain the projected sales within the year trial period and were done with substantial economic losses. The director wanted to develop better criteria for choosing store loca time and decided that the historical experience of successful and customs should be studied