The empirical results of the logit

The empirical results of the logit model of incentive travel choice can be summarized as follows. The three statistically significant variables at the 5 % level are industry, corporate travel department, and size. The industry in which the corporation operates affects its choice of incentive travel, with service companies more likely to use incentive travel than nonservice companies. This may appear to contradict the result in the first part of the article; however, the industry classification was different in the two tests (dichotomous — service or nonservice — versus a four-way classification). This result is perhaps indicative of a change in the popularity of incentive travel in the service sector. Since the service sector in society is growing in comparison to the manufacturing sector, this bodes well for the future growth of incentive travel.

結果 (中文) 1:

奖励旅游选择的 logit 模型的实证结果可概括如下。三个统计学变量在 5%的水平是行业、 企业差旅部和大小。行业的肺心病具体运作经营影响其选择奖励旅游与服务公司更有可能使用比非服务公司的奖励旅游。这可能似乎矛盾的文章; 第一部分中的结果然而，行业分类是不同的两个测试 (二分法 — — 服务或 nonservice — — 与四种方式分类)。这一结果也许是指示性的变化中凸现的奖励旅游在服务部门。因为在社会服务部门增长与制造业相比，这预示着未来增长的奖励旅游。

結果 (中文) 2:

奖励旅游选择的Logit模型的实证结果可以总结如下。在5％的水平这三个统计显著变量是行业，企业差旅部门和大小。其中COR？穿孔经营的行业影响其选择奖励旅游的，与服务公司更可能使用比非服务的公司奖励旅游。这可能会出现矛盾的结果在文章的第一部分; 然而，行业分类是两个不同的测试（二分法 - 服务或者非服务 - 与四向分类）。这一结果或许表明在服务业奖励旅游的珀普？larity的变化。由于在社会服务业相比增长对制造业，