Heteroscedasticity Test Figure 4.6 Classical Assumption Test a. Multicollinearity Test

93 1. Product Strategy X1 According to the table above, the obtained result reveals significance value for product strategy X1 is 0.025. The significance value of product strategy X1 0.025 is less than p-value 0.05. In addition, with degree of freedom df = n - total of independent variables = 84-4 = 80 and at 0.05 level of significance, the t table is 1.99. Since t test is 2.282 t table 1.99, hence H 0a should be rejected and H 1a should be accepted. Therefore, product strategy X1 partially has significant influence towards stock price Y. 2. Production Strategy X2 According to the table above, the obtained result shows significance value for production strategy X2 is 0.008. The significance value of variable production strategy X2 0.008 is less than p-value 0.05. Since the t test is negative 2.713 t table 1.99, hence H 0b should be rejected and H 1b should be accepted. Therefore production strategy X2 partially has negative significant influence towards stock price Y. 3. Distributionmarket Strategy X3 According to the table above, the obtained result shows significance value for distributionmarket strategy X3 is 0.000. The significance value of variable distributionmarket strategy X3 0.000 is less than p-value 0.05. Since the t test is negative 3.767 t table 1.99, hence H 0c should be rejected and H 1c should be accepted. Therefore distributionmarket strategy X3 partially has negative significant influence towards stock price Y. 94 4. Promotion Strategy X4 According to the table above, the obtained result shows significance value for promotion strategy X4 is 0.003. The significance value of variable promotion strategy X4 0.003 is less than p-value 0.05. Since the t test is 3.123 t table 1.99, hence H 0d should be rejected and H 1d should be accepted. Therefore promotion strategy X4 partially has significant influence towards stock price Y. Unstardardized beta coefficients: From four independent variables in regression model, all variables are significant. The indications are product strategy is significant at 0.025; production strategy is significant at 0.008; distributionmarket strategy is significant at 0.000; and promotion strategy is significant at 0.003. From this explanation, it can be concluded that stock price is influenced by product strategy, production strategy, distributionmarket strategy, and promotion strategy with mathematical equation: = 20.908 + 11.147 − 10.901 − 19.318 + 22.879 From the equation above, it can be concluded that a constant value in is 20.908. It implies that if product strategy X1, production strategy X2, distributionmarket strategy X3, and promotion strategy are held constant, so the average stock price would be US 20.908. Since the t test 2.282 is more than t table 1.99, while the product strategy X1 has significance value which is less than p-value 0.025 0.05, therefore variable