2- Marketing

1、H2H3H4

Table 1: Model Summary

From the table, it can be observed that the Adjusted R Square is 0.977. This indicates that the independent variables account for 99.7% of the variance in the dependent variable.
表1：模型汇总 从表中可以看出，调整后的R平方为0.977。这说明自变量占因变量方差的99.7%

Table 2: ANOVA table for the fit of the data

According to above table, it can be observed that the F-ratio is significant (i.e. p < 0.01). This indicates that the overall regression is a good fit for the data, and that the independent variables statistically significantly predict the dependent variable. 根据上表，可以观察到 F 比是显着的（即 p < 0.01）。 这表明总体回归与数据非常吻合，并且自变量在统计上显着地预测了因变量。 表2：数据拟合情况的方差分析表 Table 3. Regression analysis results Based on the above table, it can be seen that Percieved ease of use（β = 0.606, p < 0.01）, Marketing factors（β= 0.177, p < 0.01）, Community influence（β = 0.248, p < 0.01） all have a positive and statistically significant impact on the dependent variable. This indicate that these three factors are predictors of Personal Attitude. Regarding Percieved ease of use, the related literature states that this factor has a positive impact on Personal Attitude. For example (Author, Year) found that … In addition, (Author, year) also found that … Regarding Marketing factors, the related literature states that this factor has a positive impact on Personal Attitude. For example (Author, Year) found that … In addition, (Author, year) also found that … Regarding Community influence, the related literature states that this factor has a positive impact on Personal Attitude. For example (Author, Year) found that … In addition, (Author, year) also found that … 1、H1 Table 1: Model Summary From the table, it can be observed that the Adjusted R Square is 0.804. This indicates that the independent variables account for 80.4% of the variance in the dependent variable. Table 2: ANOVA table for the fit of the data According to above table, it can be observed that the F-ratio is significant (i.e. p < 0.01). This indicates that the overall regression is a good fit for the data, and that the independent variables statistically significantly predict the dependent variable. Table 3. Regression analysis results Based on the above table, it can be seen that Personal Attitude（β = 0.898, p < 0.01）have a positive and statistically significant impact on the dependent variable. This indicate that these three factors are predictors of Consumer behavior. Regarding Personal Attitude, the related literature states that this factor has a positive impact on Personal Attitude. For example (Author, Year) found that … In addition, (Author, year) also found that …