4. Regression analysis
4-1 Tourism destination image depending on PPL effect
We analyzed that PPL give what kind of effect on to Cognitive, Emotional tourism destination image. In other words, we took linear regression analysis to know the Cognitive, Emotional tourism destination image depending on PPL effect. Through the variable calculation, we got the mean of PPL effect. We set this to
Ⅰ. Introduction
1. Study background and objectives
Recently, due to environmental pollution and climate change, attention to environment is more growing than ever. Especially, buildings form 40% of energy and resource consumption, 30-40% of carbon dioxide emission, 20-25% of waste discharge, 17% of water consumption, and 25% of wood consumption, so buildings are mainly responsible for
Ⅳ. Method
1. conceptualization
1) Independent variable
➀ Gender
Male / Female
➁ Average time of using internet per a day
Not use / Less than 1hour / 1hour-2hour / 2hour-3hour / More than 3hour
2) Dependent variable
➀ Degree of Learning political informaion by using internet.
➁ Experience of participating On-Line Poll
➂ Experience of participating
Problem statement
Now days, Korea has highcriminal rate.
HYPOTHESIS 1
The city which has a high foreigner resident rate is more likely to have a high criminal rate than other city which has a low foreigner resident rate.
Why?
Criminal by foreigner is increasing.
Variable
independent variable
: foreigner resident rate
dependent variable
: criminal rate
METHOD 1
hypothesis in the survey questions. Focusing on the dependent variable, we came up with possible causes that could affect academic performance, specifically GPA. Such questionnaires were, the distance between the residence and the school, the drinking capacity of an individual, the age factor and sexuality. As shown in the graphs, the distance between the residence and the school and the drinking