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 rất ít; 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) 1:

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 impact on Purchase intention.The next step we ran regression analysis for those variables. The result is shown in Table 16.Based on the results in table 11, we can see the variables have a correlation with each other but very little; except the Price and PurInt have high correlations (Pearson correlation = 0.924). So we can conclude that the price is not related to the purchase behavior of consumers. Next, these variables will be running the regression and the results will be shown in the status table 16.