Math 533 Statistics: Course Project a

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A. Brief Introduction We are interested in three variables which are location, income ($1000), and credit balance. They are collected by 50 customers. B. Discuss your 1st individual variable, using graphical, numerical summary and interpretation From the histogram of location, we can find that the number of urban is the largest. The number of rural is the lowest. C. Discuss your 2nd individual variable, using graphical, numerical summary and interpretation Descriptive statistics | | | | | INCOME($1000) | count | 50 | mean | 43.48 | sample variance | 211.72 | sample standard deviation | 14.55 | minimum | 21 | maximum | 67 | range | 46 | For the income variable, we can find that the mean of income is 43.48. The variance of income is 211.72. D. Discuss your 3rd individual variable, using graphical, numerical summary and interpretation Descriptive statistics | | | | | CREDIT BALANCE($) | count | 50 | mean | 3,964.06 | sample variance | 871,411.20 | sample standard deviation | 933.49 | minimum | 1864 | maximum | 5678 | range | 3814 | From the histogram of credit balance variable, the most values are between 3864 and 4864. The mean of credit balance variable is 3964.06 and the variance is 871411.2. E. Discuss your 1st pairing of variables, using graphical, numerical summary and interpretation Let urban be 1, rural be 2 and suburban be 3. For the scatter of Location and Income, we can find that the most income in rural are below $50 (in $1000's). F. Discuss your 2nd pairing of variables, using graphical, numerical summary and interpretation The correlation between income and credit balance variables is 0.63. It means that there is a positive relationship between income and credit balance. G. Discuss your 3rd pairing of variables, using

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