Is Perceived Gender Related to Contributions and Standing in Open-Source Software Projects?

What if all unknown developers are women?

Contribution statistics if all unknown developers are women.

Centrality statistics if all unknown developers are women.

**Table 1.** Results of the multiple linear regression for all projects with the coreness values derived from the co-change networks using the eigenvector centrality if all unknown developers are women. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Project	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Angular	-0.003	0.983*	0.006	0.479	-0.007	0.695	0.023	0.514*	0.703*	-0.021
Atom	-0.038	1.354*	-0.009	0.501	-0.039	0.721	-0.016	0.420*	0.642*	-0.003
Bootstrap	0.094*	1.741*	-0.001	0.607	0.093	0.748	-0.002	0.250*	0.632*	-0.012
Cookiecutter	-0.050	1.371*	-0.035	0.322	-0.049	0.574	-0.043	0.112	0.504*	-0.061
dbatools	0.105*	1.201*	0.030*	0.407	0.123	0.576	0.082	0.404*	0.659*	0.141*
Deno	0.018*	1.456*	-0.003	0.798	0.043	0.878	-0.010	0.402*	0.675*	-0.025
Electron	-0.013	1.444*	0.003	0.600	-0.017	0.780	0.006	0.098*	0.671*	-0.053
Ghost	0.050*	1.094*	-0.009	0.496	0.075	0.696	-0.019	0.335*	0.700*	0.059*
Keras	-0.010	1.568*	0.002	0.661	-0.020	0.816	0.006	0.171*	0.477*	-0.056*
Moby	-0.008	1.569*	-0.009*	0.557	-0.014	0.747	-0.026	0.336*	0.653*	-0.046*
Next.js	0.014*	1.153*	-0.002	0.824	0.037	0.903	-0.006	0.134*	0.321*	-0.014
Nextcloud	-0.010	0.407*	0.002	0.158	-0.024	0.407	0.006	0.287*	0.304*	-0.043
React	0.031*	2.034*	-0.005	0.546	0.062	0.723	-0.018	0.280*	0.515*	-0.050*
Redux	-0.020	1.903*	-0.015	0.238	-0.025	0.488	-0.024	0.394*	0.405*	0.019
Reveal.js	0.228*	1.636*	-0.065*	0.598	0.196	0.669	-0.079	0.279*	0.524*	-0.075
TensorFlow	0.000	1.232*	0.000	0.794	0.001	0.891	-0.001	0.330*	0.725*	-0.083*
Three.js	0.040*	1.785*	0.004	0.707	0.079	0.818	0.014	0.242*	0.487*	0.000
TypeScript	0.023*	1.691*	-0.022*	0.643	0.036	0.785	-0.052	0.448*	0.696*	-0.027
VS Code	-0.015*	0.570*	-0.003	0.502	-0.044	0.723	-0.014	0.439*	0.625*	-0.029
Vue	0.043*	1.790*	-0.010	0.584	0.075	0.745	-0.036	0.334*	0.467*	-0.004

**Table 2.** Results of the multiple linear regression for all projects with the coreness values derived from the co-change networks using the hierarchy centrality if all unknown developers are women. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Project	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Angular	-0.022*	0.776*	-0.001	0.379	-0.054	0.630	-0.003	0.465*	0.774*	-0.020
Atom	-0.090*	1.189*	-0.037*	0.437	-0.097	0.688	-0.068	0.274*	0.761*	0.046
Bootstrap	0.056*	1.652*	0.010	0.579	0.058	0.743	0.016	0.155*	0.715*	0.056
Cookiecutter	-0.098	1.305*	0.065	0.339	-0.098	0.585	0.080	0.034	0.578*	-0.002
dbatools	0.064*	1.049*	0.019*	0.333	0.080	0.540	0.055	0.304*	0.680*	0.069*
Deno	-0.017*	1.228*	-0.002	0.674	-0.045	0.834	-0.009	0.273*	0.759*	-0.046
Electron	-0.017	1.357*	0.002	0.568	-0.023	0.760	0.005	0.027	0.753*	-0.039
Ghost	0.010	0.991*	-0.002	0.468	0.017	0.683	-0.005	0.328*	0.789*	0.090*
Keras	-0.010	1.476*	0.006	0.673	-0.023	0.820	0.025	-0.036	0.524*	-0.038
Moby	-0.027*	1.164*	-0.007	0.406	-0.056	0.645	-0.023	0.247*	0.715*	-0.008
Next.js	0.006	1.036*	0.000	0.769	0.016	0.876	-0.001	0.172*	0.414*	-0.063*
Nextcloud	-0.008	0.656*	0.005	0.337	-0.017	0.589	0.013	0.440*	0.674*	-0.133*
React	0.007	1.811*	-0.005	0.490	0.015	0.695	-0.018	0.379*	0.608*	-0.091*
Redux	0.008	1.790*	-0.013	0.228	0.009	0.475	-0.022	0.156*	0.436*	-0.077
Reveal.js	0.233*	1.660*	-0.056*	0.650	0.197	0.704	-0.069	0.236*	0.543*	-0.078
TensorFlow	-0.012*	1.068*	-0.001	0.518	-0.050	0.725	-0.009	0.144*	0.846*	-0.040*
Three.js	0.031*	1.772*	0.003	0.688	0.060	0.813	0.011	0.094*	0.588*	-0.014
TypeScript	-0.018	1.158*	-0.014*	0.475	-0.038	0.701	-0.043	0.428*	0.757*	-0.020
VS Code	-0.023*	0.550*	-0.004	0.459	-0.068	0.700	-0.017	0.393*	0.723*	-0.056*
Vue	0.061*	1.783*	-0.012	0.586	0.084	0.741	-0.038	0.117*	0.509*	-0.054

**Table 3.** Results of the multiple linear regression for all projects with the coreness values derived from the issue networks using the eigenvector centrality if all unknown developers are women. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Project	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Angular	0.012*	1.081*	0.000	0.054	0.096	0.210	0.002	0.241*	0.488*	-0.070*
Atom	0.008*	0.649*	0.000	0.037	0.050	0.185	-0.004	0.204*	0.367*	-0.028*
Bootstrap	0.001*	1.030*	0.000*	0.619	0.008	0.786	0.007	0.040*	0.425*	-0.014*
Cookiecutter	0.010	1.236*	0.013*	0.410	0.024	0.632	0.045	0.428*	0.409*	0.058*
dbatools	0.013*	1.434*	0.004*	0.526	0.033	0.716	0.021	0.170*	0.588*	0.017
Deno	0.000	1.007*	-0.001	0.736	-0.001	0.858	-0.011	0.072*	0.656*	0.004
Electron	0.004*	0.818*	-0.001*	0.458	0.029	0.674	-0.013	0.366*	0.466*	-0.048*
Ghost	0.003	1.339*	0.007*	0.361	0.012	0.594	0.053	0.496*	0.429*	-0.028*
Keras	0.004*	1.192*	0.000	0.203	0.039	0.446	0.004	0.295*	0.415*	-0.030*
Moby	0.002*	1.127*	0.000	0.518	0.015	0.719	-0.005	0.211*	0.500*	-0.045*
Next.js	0.002*	0.728*	-0.001*	0.452	0.017	0.671	-0.019	0.340*	0.495*	-0.024*
Nextcloud	0.001*	1.507*	-0.001*	0.567	0.010	0.752	-0.011	0.254*	0.558*	-0.049*
React	0.002*	1.248*	-0.001*	0.564	0.013	0.749	-0.018	0.304*	0.446*	-0.058*
Redux	-0.002	1.939*	-0.002	0.400	-0.009	0.632	-0.014	-0.098*	0.390*	-0.019
Reveal.js	0.020*	1.042*	-0.001	0.310	0.067	0.545	-0.003	0.410*	0.265*	-0.050*
TensorFlow	0.000*	0.265*	0.000*	0.036	0.007	0.188	-0.007	-0.100*	0.430*	-0.036*
Three.js	0.005*	1.215*	0.000	0.667	0.022	0.814	-0.003	-0.092*	0.546*	-0.038*
TypeScript	0.006*	1.424*	0.000	0.120	0.056	0.338	-0.002	0.368*	0.490*	-0.014*
VS Code	0.001*	1.060*	0.000*	0.156	0.028	0.393	-0.007	0.140*	0.395*	0.000
Vue	0.001*	0.531*	0.000	0.200	0.012	0.445	-0.006	0.265*	0.340*	0.002

**Table 4.** Results of the multiple linear regression for all projects with the coreness values derived from the issue networks using the hierarchy centrality if all unknown developers are women. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Project	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Angular	0.006*	0.651*	0.000	0.027	0.059	0.152	0.003	0.292*	0.506*	-0.091*
Atom	0.006*	0.786*	-0.001	0.045	0.036	0.209	-0.007	0.177*	0.410*	-0.066*
Bootstrap	0.001*	0.785*	0.000	0.370	0.007	0.608	0.005	0.138*	0.469*	-0.042*
Cookiecutter	-0.006	1.011*	0.000	0.305	-0.015	0.554	0.002	0.285*	0.520*	0.035*
dbatools	0.003	1.212*	0.006*	0.426	0.009	0.648	0.033	0.169*	0.611*	0.013
Deno	-0.002*	0.920*	-0.001	0.652	-0.016	0.809	-0.011	0.087*	0.603*	0.017
Electron	0.002*	0.633*	0.000	0.308	0.016	0.554	-0.005	0.286*	0.499*	-0.067*
Ghost	-0.001	1.133*	0.008*	0.277	-0.007	0.520	0.056	0.309*	0.526*	-0.011
Keras	0.003*	0.997*	0.000	0.137	0.029	0.367	0.008	0.182*	0.472*	-0.027*
Moby	0.000	0.751*	0.000	0.286	0.001	0.535	-0.002	0.278*	0.511*	-0.072*
Next.js	0.001	0.566*	-0.001*	0.281	0.010	0.530	-0.015	0.341*	0.501*	-0.051*
Nextcloud	-0.001	1.140*	0.000	0.419	-0.006	0.647	-0.006	0.138*	0.561*	-0.055*
React	0.000	0.866*	-0.001*	0.305	0.001	0.552	-0.020	0.237*	0.495*	-0.094*
Redux	-0.001	1.470*	-0.002	0.266	-0.005	0.516	-0.013	0.072*	0.428*	-0.063*
Reveal.js	0.011*	0.961*	0.000	0.269	0.040	0.513	0.001	0.148*	0.369*	-0.046*
TensorFlow	0.001*	0.150*	0.000	0.011	0.012	0.106	-0.004	-0.066*	0.501*	-0.042*
Three.js	0.004*	0.986*	0.000	0.593	0.020	0.768	-0.003	0.022*	0.587*	-0.072*
TypeScript	0.003*	1.101*	0.000	0.078	0.034	0.275	0.001	0.275*	0.532*	-0.037*
VS Code	0.001*	0.737*	0.000*	0.076	0.018	0.275	-0.005	0.148*	0.411*	-0.025*
Vue	0.001	0.479*	0.000	0.163	0.010	0.402	-0.007	0.240*	0.441*	-0.056*

**Table 5.** Results of the multiple linear regression over all projects if all unknown developers are women. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5\%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Configuration	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Co-change-Eigenvector	0.018*	1.152*	-0.001	0.464	0.034	0.672	-0.004	0.307*	0.529*	-0.022*
Co-change-Hierarchy	-0.002	1.038*	-0.001	0.427	-0.004	0.654	-0.005	0.117*	0.646*	-0.032*
Issue-Eigenvector	0.003*	1.043*	0.000*	0.349	0.026	0.589	-0.002	0.184*	0.389*	-0.046*
Issue-Hierarchy	0.002*	0.818*	0.000	0.241	0.014	0.490	-0.001	0.158*	0.456*	-0.056*

What if all unknown developers are men?

Contribution statistics if all unknown developers are men.

Centrality statistics if all unknown developers are men.

**Table 6.** Results of the multiple linear regression for all projects with the coreness values derived from the co-change networks using the eigenvector centrality if all unknown developers are men. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Project	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Angular	-0.003	0.981*	0.032*	0.481	-0.007	0.693	0.050	0.514*	0.703*	0.028
Atom	-0.036	1.352*	-0.019	0.501	-0.038	0.720	-0.019	0.420*	0.642*	0.031
Bootstrap	0.094*	1.739*	-0.018	0.608	0.093	0.747	-0.011	0.250*	0.632*	-0.111*
Cookiecutter	-0.067	1.363*	0.092	0.324	-0.065	0.571	0.060	0.112	0.504*	0.031
dbatools	0.115*	1.221*	-0.021	0.401	0.135	0.585	-0.025	0.404*	0.659*	0.038
Deno	0.017*	1.457*	0.010	0.798	0.043	0.878	0.016	0.402*	0.675*	0.055
Electron	-0.009	1.440*	0.033*	0.602	-0.012	0.777	0.045	0.098*	0.671*	0.027
Ghost	0.050*	1.100*	-0.015	0.497	0.076	0.700	-0.025	0.335*	0.700*	0.188*
Keras	-0.009	1.530*	0.030*	0.665	-0.018	0.796	0.064	0.171*	0.477*	0.062*
Moby	-0.007	1.571*	-0.008	0.556	-0.012	0.748	-0.016	0.336*	0.653*	0.017
Next.js	0.014*	1.153*	0.001	0.824	0.037	0.904	0.001	0.134*	0.321*	0.027
Nextcloud	-0.010	0.406*	0.002	0.158	-0.025	0.406	0.002	0.287*	0.304*	-0.028
React	0.032*	2.040*	0.000	0.546	0.065	0.725	0.000	0.280*	0.515*	0.054*
Redux	-0.018	1.906*	-0.056	0.238	-0.023	0.489	-0.034	0.394*	0.405*	-0.004
Reveal.js	0.228*	1.652*	-0.055	0.593	0.196	0.675	-0.035	0.279*	0.524*	-0.039
TensorFlow	0.000	1.232*	-0.001	0.794	0.001	0.891	-0.005	0.330*	0.725*	0.069*
Three.js	0.040*	1.785*	0.006	0.706	0.078	0.818	0.007	0.242*	0.487*	0.024
TypeScript	0.021*	1.700*	-0.022	0.641	0.033	0.789	-0.029	0.448*	0.696*	0.082*
VS Code	-0.014*	0.570*	-0.003	0.502	-0.042	0.724	-0.008	0.439*	0.625*	0.001
Vue	0.045*	1.796*	0.001	0.583	0.077	0.747	0.001	0.334*	0.467*	-0.056

**Table 7.** Results of the multiple linear regression for all projects with the coreness values derived from the co-change networks using the hierarchy centrality if all unknown developers are men. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Project	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Angular	-0.021*	0.775*	0.032*	0.382	-0.051	0.629	0.057	0.465*	0.774*	0.028
Atom	-0.078*	1.181*	-0.026	0.433	-0.084	0.683	-0.028	0.274*	0.761*	0.027
Bootstrap	0.054*	1.652*	-0.005	0.579	0.056	0.743	-0.003	0.155*	0.715*	-0.111*
Cookiecutter	-0.124*	1.298*	0.183*	0.348	-0.124	0.582	0.124	0.034	0.578*	0.096
dbatools	0.072*	1.060*	-0.031	0.332	0.090	0.546	-0.039	0.304*	0.680*	0.019
Deno	-0.016*	1.231*	-0.020	0.675	-0.044	0.836	-0.035	0.273*	0.759*	0.049
Electron	-0.015	1.354*	0.019	0.569	-0.021	0.759	0.026	0.027	0.753*	0.055*
Ghost	0.011	0.996*	-0.011	0.468	0.018	0.686	-0.020	0.328*	0.789*	0.225*
Keras	-0.009	1.424*	0.044*	0.681	-0.020	0.791	0.101	-0.036	0.524*	0.053*
Moby	-0.027*	1.165*	-0.011	0.406	-0.054	0.646	-0.023	0.247*	0.715*	0.040*
Next.js	0.006	1.036*	0.001	0.769	0.016	0.876	0.003	0.172*	0.414*	0.004
Nextcloud	-0.009	0.654*	0.002	0.337	-0.019	0.588	0.002	0.440*	0.674*	-0.049
React	0.008	1.815*	-0.008	0.490	0.017	0.696	-0.012	0.379*	0.608*	0.061*
Redux	0.009	1.793*	-0.031	0.228	0.010	0.475	-0.019	0.156*	0.436*	0.020
Reveal.js	0.231*	1.675*	-0.044	0.647	0.195	0.710	-0.029	0.236*	0.543*	-0.095
TensorFlow	-0.012*	1.068*	-0.003	0.518	-0.049	0.725	-0.015	0.144*	0.846*	0.095*
Three.js	0.031*	1.772*	0.005	0.688	0.060	0.813	0.006	0.094*	0.588*	-0.011
TypeScript	-0.020*	1.169*	-0.032*	0.476	-0.042	0.708	-0.054	0.428*	0.757*	0.094*
VS Code	-0.022*	0.550*	-0.003	0.458	-0.066	0.700	-0.008	0.393*	0.723*	-0.021
Vue	0.064*	1.790*	0.004	0.585	0.088	0.744	0.004	0.117*	0.509*	-0.009

**Table 8.** Results of the multiple linear regression for all projects with the coreness values derived from the issue networks using the eigenvector centrality if all unknown developers are men. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Project	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Angular	0.012*	1.079*	0.009*	0.057	0.095	0.209	0.049	0.241*	0.488*	0.016*
Atom	0.008*	0.649*	0.000	0.037	0.051	0.185	-0.003	0.204*	0.367*	-0.004
Bootstrap	0.001*	1.030*	0.000	0.619	0.007	0.786	0.000	0.040*	0.425*	-0.010*
Cookiecutter	0.009	1.242*	-0.007	0.408	0.023	0.635	-0.013	0.428*	0.409*	0.051*
dbatools	0.013*	1.438*	0.012*	0.526	0.031	0.718	0.023	0.170*	0.588*	0.042*
Deno	0.000	1.008*	-0.004*	0.737	-0.001	0.859	-0.017	0.072*	0.656*	-0.031*
Electron	0.004*	0.818*	-0.001*	0.457	0.030	0.674	-0.008	0.366*	0.466*	0.019*
Ghost	0.002	1.329*	0.014*	0.361	0.008	0.589	0.056	0.496*	0.429*	0.034*
Keras	0.004*	1.189*	0.004*	0.204	0.040	0.445	0.038	0.295*	0.415*	-0.012*
Moby	0.002*	1.127*	-0.001	0.518	0.016	0.719	-0.004	0.211*	0.500*	0.013*
Next.js	0.002*	0.727*	0.000	0.452	0.019	0.671	0.001	0.340*	0.495*	-0.019*
Nextcloud	0.001*	1.507*	-0.001	0.567	0.011	0.752	-0.005	0.254*	0.558*	0.035*
React	0.002*	1.248*	-0.002*	0.563	0.017	0.749	-0.010	0.304*	0.446*	0.006
Redux	-0.002	1.940*	0.001	0.399	-0.007	0.632	0.003	-0.098*	0.390*	-0.021*
Reveal.js	0.020*	1.042*	-0.002	0.310	0.067	0.545	-0.007	0.410*	0.265*	-0.010
TensorFlow	0.000*	0.265*	0.000	0.036	0.007	0.188	-0.004	-0.100*	0.430*	0.003
Three.js	0.005*	1.215*	0.001	0.667	0.022	0.814	0.005	-0.092*	0.546*	-0.028*
TypeScript	0.006*	1.424*	0.002*	0.120	0.057	0.338	0.011	0.368*	0.490*	-0.003
VS Code	0.001*	1.060*	0.000	0.156	0.029	0.393	-0.002	0.140*	0.395*	0.003
Vue	0.001*	0.531*	-0.001	0.200	0.012	0.446	-0.004	0.265*	0.340*	0.003

**Table 9.** Results of the multiple linear regression for all projects with the coreness values derived from the issue networks using the hierarchy centrality if all unknown developers are men. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Project	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Angular	0.006*	0.649*	0.009*	0.030	0.058	0.151	0.059	0.292*	0.506*	0.013*
Atom	0.006*	0.786*	-0.001	0.045	0.037	0.208	-0.005	0.177*	0.410*	-0.022*
Bootstrap	0.001*	0.785*	0.000	0.370	0.006	0.608	0.004	0.138*	0.469*	-0.003
Cookiecutter	-0.005	1.011*	-0.006	0.305	-0.015	0.554	-0.011	0.285*	0.520*	0.025
dbatools	0.003	1.218*	0.009	0.425	0.007	0.651	0.017	0.169*	0.611*	0.027
Deno	-0.002*	0.921*	-0.006*	0.652	-0.017	0.810	-0.028	0.087*	0.603*	-0.029*
Electron	0.002*	0.634*	-0.002*	0.308	0.017	0.554	-0.015	0.286*	0.499*	0.015*
Ghost	-0.002	1.126*	0.012*	0.277	-0.012	0.517	0.049	0.309*	0.526*	0.054*
Keras	0.003*	0.993*	0.004*	0.138	0.030	0.365	0.038	0.182*	0.472*	-0.003
Moby	0.000	0.752*	-0.001	0.286	0.001	0.535	-0.005	0.278*	0.511*	0.006
Next.js	0.001*	0.566*	0.000	0.281	0.011	0.530	0.000	0.341*	0.501*	-0.017*
Nextcloud	-0.001	1.141*	-0.001	0.419	-0.005	0.648	-0.007	0.138*	0.561*	0.032*
React	0.001	0.866*	-0.002*	0.305	0.005	0.552	-0.013	0.237*	0.495*	0.002
Redux	-0.001	1.471*	0.001	0.266	-0.003	0.516	0.003	0.072*	0.428*	-0.032*
Reveal.js	0.011*	0.961*	-0.003	0.269	0.039	0.513	-0.009	0.148*	0.369*	-0.014
TensorFlow	0.001*	0.150*	0.000	0.011	0.012	0.106	-0.003	-0.066*	0.501*	0.007*
Three.js	0.004*	0.986*	0.003*	0.593	0.020	0.768	0.011	0.022*	0.587*	-0.031*
TypeScript	0.003*	1.101*	0.002*	0.078	0.034	0.275	0.016	0.275*	0.532*	-0.003
VS Code	0.001*	0.737*	0.000	0.076	0.018	0.275	-0.002	0.148*	0.411*	0.000
Vue	0.001	0.479*	-0.001	0.163	0.011	0.402	-0.005	0.240*	0.441*	-0.015*

**Table 10.** Results of the multiple linear regression over all projects if all unknown developers are men. The values represent the estimates for each factor and a * means that the result is statistically significant with a significance level of 5\%. Also we present the standardized beta coefficient of the factors in the linear regression model and a Spearman correlation coefficient between the factors and the coreness of developers.
		Linear Regression				Beta Coefficients			Spearman Correlation
Configuration	Active Time	Number of Contributions	Gender	R-Squared	Active Time	Number of Contributions	Gender	Active Time	Number of Contributions	Gender
Co-change-Eigenvector	0.018*	1.152*	0.001	0.464	0.034	0.672	0.002	0.307*	0.529*	0.045*
Co-change-Hierarchy	-0.002	1.038*	-0.001	0.427	-0.003	0.654	-0.002	0.117*	0.646*	0.054*
Issue-Eigenvector	0.003*	1.043*	0.001*	0.349	0.027	0.589	0.004	0.184*	0.389*	-0.008*
Issue-Hierarchy	0.002*	0.818*	0.001*	0.241	0.015	0.490	0.005	0.158*	0.456*	-0.003*