The document appears to contain statistical analysis and results from regression models predicting savings and investment behaviors based on income, education, career, family status, and other demographic factors. It includes regression coefficients, t-statistics, and p-values from linear and logistic regression models. It also displays results from chi-square tests comparing categories of variables, including education level and family status compared between those who save and invest.

2. 30-50

8. ???

10. ??? ???

11. 30-50

12. -
-
30-50

14. 251
1

20. - - -

22. 2
-
1

23. 1 2 3

28. 94.29% 23.81%
92.47% 18.49%

29. 5,000-35,000
92.64% 15.34%
35,001-75,000
94.03% 28.36%
75,001
95.24% 38.1%

30. 95.56% 11.11%
92% 16.67%
94.64% 39.29%

31. 88.24% 32.35%
95.24% 33.33%
95.69% 16.38%

32. 0-2 92.82% 19.14%
3-5 95% 25%
6-7 100% 100%

33. 93.10% 17.24%
93.40% 25.47%

34. ,
-
,
-

35. 3
-
2

36. C
Y
a,b
C = a + bY

37. S= -a + (1-b)Y

38. Saving = f
(Income, Educ, Career, Status, Child
, Debt, Interrise)
Linear
Regressio
n

39. (income)
(educ)
(career)
(status)

40. Coef
T-
Statist
ics
P-Value
Income
0.1934
788
10.29
99
Lower
3072.2
02 95
upper
2993.7
87
2.23
95
Govoffi
cer
127.25
67
0.04
Entrepr
e
-
3229.1
62
-0.97

41. Invest = f (Income, Educ, Career,
Status, Child, Debt, Interrise)
Logistic
Regressio
n

42. (income)
(educ)
(career)
(status)

43. Coef
T-
Stat
M.E. P-Value
Inco
me
3.27e
-06
0.23
Lower
-
0.402
8
-0.73
upper 1.245 3.22 0.0831
7
99
Govof
ficer
16.58
1
2.16
Entre
pre
17.00
8
2.54

45. 4

48. !!

49. 5
3

52. 107 67 221
14 10 30
121 77 251
Chi-Square = 0.1152 P-Value = 0.944

53. 74 61 181
47 16 70
121 77 251
Chi-Square=14.84 P-Value=0.001

54. 44 41 85
77 36 113
121 77 251
Chi-Square=7.4458 P-Value=0.024

57. 2

58. 3