A YOUTPUT Regression Statistics Multiple 0.25 R Square 0.06 Adjusted R Square 0.06 Standard Error 69.36 Observations 100

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A Youtput Regression Statistics Multiple 0 25 R Square 0 06 Adjusted R Square 0 06 Standard Error 69 36 Observations 100 1 (58.77 KiB) Viewed 30 times

A YOUTPUT Regression Statistics Multiple 0.25 R Square 0.06 Adjusted R Square 0.06 Standard Error 69.36 Observations 10000.00 ANOVA F 165.76 df 4.00 9995.00 9999.00 Regression Residual Total SS MS 3189424.43 797356.11 48077904.26 4810.20 51267328.69 Significance F 0.00 Standard Error Intercept Age female computer internet Coefficients 480.31 -0.54 1.78 24.83 14.28 2.57 0.09 1.45 2.04 2.02 Stat 187.07 6.01 1.23 12.15 7.06 P-value 0.00 0.00 0.22 0.00 0.00 Lower 95% 475.28 -0.72 -1.06 20.82 10.31 Upper 95% 485.34 -0.36 4.61 28.83 18.24 Lower 95.0% Upper 95.0% 475.28 485.34 -0.72 0.36 -1.06 4.61 20.82 28.83 10.31 18.24 B HO CHY H1 μπομν Test type (1 or 2 tail) one-tail t-test 5.1 0.0 0.0 Female Male N 6,274.0 3,726.0 df 7,456.0 Mean 493.2 495.7 t-stat 1.7 2.6 1.5 StDev 70.0 74.3 One-tailed p-value 4% One-tailed p-value 4% The rulhypothesis should not be rejected. This is because the one tailed p-value (4%) is greater than the 1% significance level. As an economic interpretation of the result, there is insufficient evidence that female students perform better than male students with regard to students' language score component