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. Author manuscript; available in PMC: 2024 Apr 4.
Published in final edited form as: Proc Assoc Inf Sci Technol. 2020 Oct 22;57(1):e253. doi: 10.1002/pra2.253

Table 1:

Model 1: predicting patent outputs with the submission network variables

Coefficients Estimate Std. Err. t-value p-value
(intercept) −4802.623 874.884 −5.489 0.000014 ***
Sub count 0.185 0.022 8.478 0.000000 ***
Sub team size mean 286.044 93.593 3.056 0.005598 **
Sub mean degree 1476.184 360.298 4.097 0.000442 ***

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 1020 on 23 degrees of freedom

Multiple R-squared: 0.9619, Adjusted R-squared: 0.9569

F-statistic: 193.6 on 3 and 23 DF, p-value: < 0.00000000000000022