Analysis of the Effect of Product and Distribution on Consumer Purchase Decisions McDonald's in Surabaya

Abstract

The results of the F test show the Fcount value of 98,803. While the value of Ftable with degree of freedom = n – k – 1 = 60-2-1 = 57 is 2.615. Therefore, the Fh value is 98,803 > Ft is 2,615; then Ha is accepted and H0 is rejected. This means that the regression model has succeeded in explaining the variation of the independent variables as a whole, the extent of their influence on the dependent variables. The t-test results show the t-value for the Product variable (X1) is 8.223; Distribution (X2) is 7.087. While the value of ttable with degree of freedom = 60-2-1 = 57 with a significance level (α) = 5% is 1.780. The tcount value for the Product variable (X1) is 8,223 > the ttable value is 1,780; then Ha is accepted and H0 is rejected. This means that the independent variable Product (X1) can explain the dependent variable, namely Buyer's Decision (Y). The tcount value for Distribution (X2) is 7,087 > ttable value is 1,780; then Ha is accepted and H0 is rejected. This means that the independent variable Distribution (X2) can explain the dependent variable, namely Buyer's Decision (Y). The results of this study provide direction as much as possible, which can be used to provide support for the existence of more detailed products (eg attending exhibitions), selling products (eg making special offers), and building the company's aura (atmosphere) (creating a good impression through the work environment). and public relations (Djaslim Saladin: 2003,123).