tc q q2 q3

700 25 625 15625

920 100 10000 1000000
990 150 22500 3375000
1240 200 40000 8000000
1440 280 78400 21952000
1940 360 129600 46656000
2330 460 211600 97336000
3500 600 360000 21600000
0

SUMMARY OUTPUT

Regression Statistics
Multiple R 0.997799
R Square 0.995604
Adjusted R Square 0.991208
Standard Error 86.07609
Observations 7

ANOVA
Significance
  df SS MS F F
Regression 3 5033744 1677915 226.467 0.000494
Residual 3 22227.28 7409.093
Total 6 5055971      

Coefficient Standard Upper Lower Upper

  s Error t Stat P-value Lower 95% 95% 95.0% 95.0%
Intercept 569.8337 310.8801 1.832969 0.164183 -419.526 1559.193 -419.526 1559.193
25 3.398685 3.521368 0.965161 0.405661 -7.80788 14.60525 -7.80788 14.60525
625 -0.00278 0.011292 -0.24606 0.821509 -0.03872 0.033159 -0.03872 0.033159
15625 8.7E-06 1.07E-05 0.815653 0.474437 -2.5E-05 4.27E-05 -2.5E-05 4.27E-05
SUMMARY OUTPUT

Regression Statistics
Multiple R 0.997368
R Square 0.994742
Adjusted R Square 0.992639
Standard Error 79.76109
Observations 8

ANOVA
Significance
  df SS MS F F
Regression 2 6017941 3008970 472.9723 2E-06
Residual 5 31809.16 6361.832
Total 7 6049750      

Coefficient Upper Lower Upper

  s Standard Error t Stat P-value Lower 95% 95% 95.0% 95.0%
Intercept 706.7299 76.49196 9.23927 0.00025 510.101 903.3587 510.101 903.3587
q 1.193121 0.589358 2.024441 0.098809 -0.32187 2.708114 -0.32187 2.708114
q2 0.005642 0.000914 6.17143 0.001627 0.003292 0.007992 0.003292 0.007992

Tc= 706.8+1.19q+0.006q2
Ac= Tc/q 706.8/q +1.19+0.006q
Mc= 1.19+ 0.012q
AC= 706.8q^-2+ 0.006
Since, no AVC
706.8/q2+ 0.006=0
706.8/q2= -0.006
q2= -0.006/706.8
q=……..units
Therefore, Ac= Tk…
person income age educatio jb_expr
n
1 5.0 29 2 9
2 9.7 36 4 18
3 28.4 41 8 21
4 8.8 30 8 12
5 21.0 31 8 14
6 26.6 36 10 16
7 25.4 61 12 16
8 23.1 29 12 9
9 22.5 54 12 18
10 19.5 30 12 5
11 21.7 28 12 7
12 24.8 29 13 9
13 30.1 35 14 12
14 24.8 59 14 17
15 28.5 65 15 19
16 26.0 30 15 6
17 38.9 40 16 17
18 22.1 23 16 1
19 33.1 58 17 10
20 48.3 60 21 17
A.

___ ____ ____ ____ ____ (R)

/__ / ____/ / ____/
___/ / /___/ / /___/ 13.0 Copyright 1985-2013 StataCorp LP
Statistics/Data Analysis StataCorp
4905 Lakeway Drive
College Station, Texas 77845 USA
800-STATA-PC http://www.stata.com
979-696-4600 stata@stata.com
979-696-4601 (fax)

118-student Stata lab perpetual license:

Serial number: 301306212234
Licensed to: University of California, LA
Social Sciences Computing

Notes:
1. You are running Small Stata.

. use "C:\525\414.dta", clear

. regress income age

Source SS df MS Number of obs = 20

F( 1, 18) = 6.03
Model 456.7428 1 456.7428 Prob > F = 0.0245
Residual 1363.68268 18 75.7601486 R-squared = 0.2509
Adj R-squared = 0.2093
Total 1820.42548 19 95.8118671 Root MSE = 8.704

income Coef. Std. Err. t P>|t| [95% Conf. Interval]

age .3571261 .1454475 2.46 0.024 .0515523 .6626998

_cons 10.05853 6.162408 1.63 0.120 -2.888207 23.00527
B.

___ ____ ____ ____ ____ (R)

/__ / ____/ / ____/
___/ / /___/ / /___/ 13.0 Copyright 1985-2013 StataCorp LP
Statistics/Data Analysis StataCorp
4905 Lakeway Drive
College Station, Texas 77845 USA
800-STATA-PC http://www.stata.com
979-696-4600 stata@stata.com
979-696-4601 (fax)

118-student Stata lab perpetual license:

Serial number: 301306212234
Licensed to: University of California, LA
Social Sciences Computing

Notes:
1. You are running Small Stata.

. use "C:\525\414.dta", clear

. regress income age education jb_expr

Source SS df MS Number of obs = 20

F( 3, 16) = 37.69
Model 1594.77211 3 531.590704 Prob > F = 0.0000
Residual 225.653363 16 14.1033352 R-squared = 0.8760
Adj R-squared = 0.8528
Total 1820.42548 19 95.8118671 Root MSE = 3.7554

income Coef. Std. Err. t P>|t| [95% Conf. Interval]

age -.2159314 .1078381 -2.00 0.062 -.444538 .0126752

education 2.258487 .2526031 8.94 0.000 1.722992 2.793981
jb_expr 1.030938 .2479805 4.16 0.001 .5052424 1.556633
_cons -7.160684 3.342747 -2.14 0.048 -14.24699 -.0743762

.
GP IQ
A
2.1 116
2.2 129
3.1 123
2.3 121
3.4 131
2.9 134
2.9 126
2.7 122
2.1 114
1.7 109
3.3 132
3.5 140

___ ____ ____ ____ ____ (R)

/__ / ____/ / ____/
___/ / /___/ / /___/ 13.0 Copyright 1985-2013 StataCorp LP
Statistics/Data Analysis StataCorp
4905 Lakeway Drive
College Station, Texas 77845 USA
800-STATA-PC http://www.stata.com
979-696-4600 stata@stata.com
979-696-4601 (fax)

118-student Stata lab perpetual license:

Serial number: 301306212234
Licensed to: University of California, LA
Social Sciences Computing

Notes:
1. You are running Small Stata.

. use "C:\525\415.dta", clear

. regress gpa iq

Source SS df MS Number of obs = 12

F( 1, 10) = 23.38
Model 2.70139533 1 2.70139533 Prob > F = 0.0007
Residual 1.15527154 10 .115527154 R-squared = 0.7004
Adj R-squared = 0.6705
Total 3.85666687 11 .350606079 Root MSE = .33989

gpa Coef. Std. Err. t P>|t| [95% Conf. Interval]

iq .0549623 .0113661 4.84 0.001 .0296369 .0802876

_cons -4.173209 1.421315 -2.94 0.015 -7.340097 -1.006321
YR Con_Tn GNP price
1969 407.90 944.00 2.09
1970 447.80 992.70 2.10
1971 479.10 1077.60 2.19
1972 511.40 1185.90 2.29
1973 554.20 1326.40 2.38
1974 555.00 1434.20 2.83
1975 586.10 1594.20 3.21
1976 613.10 1718.00 3.45
1977 652.30 1918.30 3.78
1978 679.20 2163.90 4.03
1979 696.00 2417.80 4.43
1980 734.40 2631.70 5.12
1981 730.50 2957.80 5.80
1982 732.70 3069.30 6.44
1983 750.90 3304.80 6.83
 ___ ____ ____ ____ ____ (R)
/__ / ____/ / ____/
___/ / /___/ / /___/ 13.0 Copyright 1985-2013 StataCorp LP
Statistics/Data Analysis StataCorp
4905 Lakeway Drive
College Station, Texas 77845 USA
800-STATA-PC http://www.stata.com
979-696-4600 stata@stata.com
979-696-4601 (fax)

118-student Stata lab perpetual license:

Serial number: 301306212234
Licensed to: University of California, LA
Social Sciences Computing

Notes:
1. You are running Small Stata.

. use "C:\525\416.dta", clear

. regress yr con_tn gnp price

Source SS df MS Number of obs = 15

F( 3, 11) = 1503.46
Model 279.318794 3 93.1062646 Prob > F = 0.0000
Residual .681206207 11 .061927837 R-squared = 0.9976
Adj R-squared = 0.9969
Total 280 14 20 Root MSE = .24885

yr Coef. Std. Err. t P>|t| [95% Conf. Interval]

con_tn .0271169 .0027773 9.76 0.000 .0210042 .0332296

gnp -.0011495 .0012623 -0.91 0.382 -.0039279 .0016288
price 1.495296 .480218 3.11 0.010 .4383429 2.552248
_cons 1956.017 .9714504 2013.50 0.000 1953.879 1958.155
Ham_co Ham_pr Inc Hot_DPr
n c c
50 1.50 12.00 1.80
80 1.35 14.20 1.55
95 1.25 15.00 1.45
105 1.20 16.00 1.35
70 1.40 13.80 1.60
85 1.30 14.30 1.50
55 1.50 13.30 1.70
60 1.45 13.30 1.70
75 1.35 13.70 1.60
90 1.25 14.50 1.50
100 1.20 15.20 1.35
65 1.45 13.60 1.65
 ___ ____ ____ ____ ____ (R)
/__ / ____/ / ____/
___/ / /___/ / /___/ 13.0 Copyright 1985-2013 StataCorp LP
Statistics/Data Analysis StataCorp
4905 Lakeway Drive
College Station, Texas 77845 USA
800-STATA-PC http://www.stata.com
979-696-4600 stata@stata.com
979-696-4601 (fax)

118-student Stata lab perpetual license:

Serial number: 301306212234
Licensed to: University of California, LA
Social Sciences Computing

Notes:
1. You are running Small Stata.

. use "C:\525\417.dta", clear

. regress ham_con ham_prc inc hot_dprc

Source SS df MS Number of obs = 12

F( 3, 8) = 658.55
Model 3560.58213 3 1186.86071 Prob > F = 0.0000
Residual 14.4178684 8 1.80223356 R-squared = 0.9960
Adj R-squared = 0.9945
Total 3575 11 325 Root MSE = 1.3425

ham_con Coef. Std. Err. t P>|t| [95% Conf. Interval]

ham_prc -106.69 15.52316 -6.87 0.000 -142.4865 -70.89356

inc 4.565099 1.806028 2.53 0.035 .4003906 8.729807
hot_dprc -12.15564 20.97371 -0.58 0.578 -60.52111 36.20984
_cons 176.271 45.28989 3.89 0.005 71.83231 280.7096