SUMMARY OUTPUT Regression Statistics Multiple R 0.473932054 R Square 0.224611592 Adjusted R Square 0.218853757 Standard Error 14.85665558 Observations 408 ANOVA df SS MS F Significance F Regression 3 25830.70959 8610.236529 39.00973242 3.69997E-22 Residual 404 89170.96688 220.7202151 Total 407 115001.6765 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 385.4384477 338.9966744 1.136997725 0.25621316 -280.9792491 1051.856144 GDP Per Capita (Thousands) 0.28651666 0.046941033 6.103756974 2.4315E-09 0.194237479 0.37879584 Population (Millions) 0.041979674 0.00443387 9.467954334 2.42102E-19 0.033263338 0.050696011 Year -0.191084928 0.169402359 -1.127994491 0.259991678 -0.524105098 0.141935242 Table 1
Added by Charles B.
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ŷ = 385.4384477 + 0.28651666*(GDP per capita, thousands) + 0.041979674*(Population, millions) − 0.191084928*(Year). Show more…
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Sri K.
SUMMARY OUTPUT Regression Statistics Multiple R 0.991 R Square 0.982 Adjusted R Square 0.976 Standard Error 0.299 Observations 10 ANOVA df SS MS F Signif F Regression 2 33.4163 16.7082 186.325 0.0001 Residual 7 0.6277 0.0897 Total 9 34.0440 Coeff StdError t Stat P-value Intercept – 0.0861 0.5674 – 0.152 0.8837 GDP 0.7654 0.0574 13.340 0.0001 Price – 0.0006 0.0028 – 0.219 0.8330
SUMMARY OUTPUT Dependent Variable: Production Volume (# units produced) Regression Statistics Multiple R: 0.7587 R Square: 0.5756 Adjusted R Square: 0.5521 Standard Error: 14,994.93 Observations: 20 ANOVA df SS MS F Significance F Regression 1 5.49E+09 5.49E+09 24.42 0.0001 Residual 18 4.05E+09 2.25E+08 Total 19 9.54E+09 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept -64,720.33 36,722.07 -1.76 0.0950 -141,870.54 12,429.88 Number of Workers 1,638.98 331.69 4.94 0.0001 942.13 2,335.84
Adi S.
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