Table 15 shows that most of variabl

Table 15 shows that most of variables have low correlation among themselves, except Price and Pur_Int have high correlation with each other ( Pearson correlation = 0,924). We looked back the content of measurement scales for these two variables and could see that they are measuring two different concepts. So the high correlation between them could be explained as Price does high impact on Purchase intention.
The next step we ran regression analysis for those variables. The result is shown in Table 16.

Dựa vào kết quả ở bảng 15, ta có thể thấy được các biến có sự tương quan với nhau nhưng không đáng kể; ngoại trừ Price và PurInt có mối tương quan cao (Pearson correlation = 0,924). Vì thế chúng ta có thể kết luận rằng giá không liên quan đến hành vi mua hàng của người tiêu dùng. Tiếp theo, các biến này sẽ được chạy hồi qui và kết quả sẽ được tình bày ở bảng 16.

Kết quả (Anh) 2:

Table 15 shows mà nhất of variables have low correlation Among Themselves, except Price and Pur_Int have high correlation with each other (Pearson correlation = 0.924). We Looked back the content of measurement scales for những two variables and could see two khác mà chúng measuring concepts. Compared to the high correlation could be added giữa Explained as Purchase Price does high impact on intention.
The next step ran regression analysis for những chúng variables. The result is printed Shown Table 16. Based on the results in Table 15, we can see that the variables are correlated with each other but not significantly; except Price and PurInt high correlation (Pearson correlation = 0.924). So we can conclude that the price does not involve buying behavior of consumers. Next, these variables are regressed and the results will be presented in Table 16.