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Age 30 31.06667 8.835404 16 45
Variable Obs Mean Std. Dev. Min Max
. summarize Age
Note: _cons estimates baseline odds.
_cons 10.04317 17.03562 1.36 0.174 .3614339 279.0695
Age .8855801 .0539651 -1.99 0.046 .7858826 .9979252
UnderArmour Odds Ratio Std. Err. z P>|z| [95% Conf. Interval]
Log likelihood = -13.836323 Pseudo R2 = 0.1511
Prob > chi2 = 0.0265
LR chi2(1) = 4.92
Logistic regression Number of obs = 30
. logistic UnderArmour Age
_cons .8298192 .2727641 3.04 0.005 .2710873 1.388551
Age -.0192002 .0084556 -2.27 0.031 -.0365207 -.0018796
UnderArmour Coef. Std. Err. t P>|t| [95% Conf. Interval]
Total 5.36666667 29 .185057471 Root MSE = .40232
Adj R-squared = 0.1253
Residual 4.53209847 28 .16186066 R-squared = 0.1555
Model .834568192 1 .834568192 Prob > F = 0.0311
F(1, 28) = 5.16
Source SS df MS Number of obs = 30
. regress UnderArmour Age
. import excel "C:\Users\MYLES\OneDrive\Desktop\data for paper.xlsx", sheet("Sheet1") firstrow
1. Unicode is supported; see help unicode_advice.
Notes:
Iran Will Defeat US
Licensed to: www.Downloadly.ir
Serial number: 301506215585
Single-user Stata perpetual license:
979-696-4601 (fax)
979-696-4600 stata@stata.com
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4905 Lakeway Drive
Statistics/Data Analysis StataCorp
___/ / /___/ / /___/ 15.0 Copyright 1985-2017 StataCorp LLC
/__ / ____/ / ____/
___ ____ ____ ____ ____ (R)

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___ ____ ____ ____ ____ (R) /__ / ____/ / ____/ ___/ / /___/ / /___/ 15.0 Statistics/Data Analysis Copyright 1985-2017 StataCorp LLC 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) Single-user Stata perpetual license: Serial number: 301506215585 Licensed to: www.Downloadly.ir Iran Will Defeat US Notes: 1. Unicode is supported; see help unicode_advice. . import excel "C:\Users\MYLES\OneDrive\Desktop\data for paper.xlsx", sheet("Sheet1") firstrow . regress UnderArmour Age Source SS df MS Model Residual .834568192 4.53209847 1 28 .834568192 .16186066 Total 5.36666667 29 .185057471 UnderArmour Coef. Age _cons -.0192002 .8298192 Std. Err. .0084556 .2727641 t -2.27 3.04 Number of obs F(1, 28) Prob > F R-squared Adj R-squared Root MSE P>|t| 0.031 0.005 = = = = = = 30 5.16 0.0311 0.1555 0.1253 .40232 [95% Conf. Interval] -.0365207 .2710873 -.0018796 1.388551 . logistic UnderArmour Age Logistic regression Number of obs LR chi2(1) Prob > chi2 Pseudo R2 Log likelihood = -13.836323 UnderArmour Odds Ratio Age _cons .8855801 10.04317 Std. Err. .0539651 17.03562 z -1.99 1.36 = = = = 30 4.92 0.0265 0.1511 P>|z| [95% Conf. Interval] 0.046 0.174 .7858826 .3614339 .9979252 279.0695 Note: _cons estimates baseline odds. . summarize Age . Variable Obs Mean Age 30 31.06667 Std. Dev. 8.835404 Min Max 16 45 Name: Description: ...
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