Experimental Pricing As an Approach to Demand Analysis 19 EXAMINATION OF HYPOTHESES FOR SELECTION OF SPECIFIC MODEL As previously implied, the choice of a specific model to sum- marize the experimental demand relationships for orange con- centrate was to be decided by the application of formal statistical tests to certain adaptations of the general model. It will develop that, from these tests, conclusions could be drawn respecting the particular form, i.e., degree of the logarithmic function relating quantity and price. Moreover, reasonably justifiable decisions could be made concerning the retention or omission of certain class constants. Procedural stages leading to the development of the final model are dealt with subsequently. Linear Component.-Attention initially was directed toward choosing a particular model form. A procedure of first testing the least complex model and then the progressively more com- plex alternatives, outlined in the preceding section, appeared to constitute a logical approach to the problem. Considering the linear form (A) and allowing the age, store, weeks and interaction constants to take on any (least- squares estimated) finite value, the relevant question to be answered related to the existence of a linear component. Making use of statistical notation, the hypothesis to be tested was H1 : 09= 0 against Ql: P9,/ 0. The method used to choose between the two hypotheses amounted to testing the reduction in error sum of squares due to linear regression. Consequently, the testing of H1, given form (A), required the computation of two new error sums of squares. These consisted of the remainder after fitting X7 and Xs and the remainder after fitting X7, Xs and X'9. Solution of the following matrix equations was required to obtain the sum of squares (SSRs) for the regression on X7 and Xs:19 [ 2 1x [b be] x7 8-I = [yx7 lyx8] S0.675000 -0.225000 [ J b7 -0.225000 0.675000 .879816 0.932323 , The necessary sums of squares and sums of cross products were ob- tained from line E, Table 2 of Appendix III.