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분야
docx1.2. Topic
1.3. Research purpose
1.4. Research process
1.5. Selection of potentially relevant variables
1.6. Data collection
1.7. Data collecting and Sampling
1.8. Collected data
1.9. Regression analysis using SAS software
1.10. the error of the collected data
1.11. Analysis of the data using SAS
1.12. Multicollinearity
1.13. Variables selection procedure
1.14. the assumption about errors
1.15. Outlier
2. Summary and conclusion
1.1. Topic
Analysis of various factors affecting the selling price of the car
1.2. Research purpose
Nowadays, there are many different models of cars and their prices range. So we want to know what
thefactors arewhich affect the selling price of the car and how much each variable explains the selling price.
1.3. Research process
To determine if there is a correlation between various factors and the selling price of the car, the multiple linear regression model was used. First, 10 explanatory variables that are likely to affect selling price of the car were potentially set and the data were collected. In this course, we referred to website (http://www.enuri.com/car) that sells new cars. Next, the standard regression assumptions were checked. Finally, fitness of model was examined by deciding whether the price of the car can be explained by each variance.
1.4. Selection of potentially relevant variables [unit]
The Variables below are what we choose we think of as the factors determining the price of the cars.
a) Response variable(Y): the selling price of the car [ten thousand won]
b) Predict variables(X)
