Multiple Linear Regression - Estimated Regression Equation

Pop[t] = -1.14995 + 0.0996782Gender[t] + 0.010933Connected[t] -0.000911994Separate[t] + 0.03676Learning[t] + 0.0289915Software[t] + 0.0360988Happiness[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-1.14995	0.288831	-3.981	8.73014e-05	4.36507e-05
Gender	0.0996782	0.0553112	1.802	0.0725957	0.0362978
Connected	0.010933	0.00783372	1.396	0.163925	0.0819627
Separate	-0.000911994	0.00817039	-0.1116	0.911203	0.455601
Learning	0.03676	0.0139777	2.63	0.0090113	0.00450565
Software	0.0289915	0.0149992	1.933	0.0542572	0.0271286
Happiness	0.0360988	0.0111385	3.241	0.00133493	0.000667467

Multiple Linear Regression - Regression Statistics
Multiple R	0.447905
R-squared	0.200619
Adjusted R-squared	0.18355
F-TEST (value)	11.7536
F-TEST (DF numerator)	6
F-TEST (DF denominator)	281
p-value	9.32532e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.450431
Sum Squared Residuals	57.0114

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	1	0.694489	0.305511
2	1	0.903778	0.0962215
3	1	0.776199	0.223801
4	1	0.317414	0.682586
5	1	0.756818	0.243182
6	1	0.723511	0.276489
7	1	0.899567	0.100433
8	1	0.751284	0.248716
9	1	0.715418	0.284582
10	1	0.673401	0.326599
11	1	0.728989	0.271011
12	1	0.934246	0.0657543
13	1	0.530632	0.469368
14	1	0.826109	0.173891
15	1	0.986346	0.0136538
16	1	0.574493	0.425507
17	1	0.561154	0.438846
18	1	1.02731	-0.0273063
19	1	0.727753	0.272247
20	1	0.784041	0.215959
21	1	0.726657	0.273343
22	1	0.593526	0.406474
23	1	0.922174	0.0778257
24	1	0.658935	0.341065
25	1	0.833753	0.166247
26	1	0.695498	0.304502
27	1	0.667376	0.332624
28	1	0.739439	0.260561
29	1	0.757963	0.242037
30	1	0.39332	0.60668
31	1	0.73726	0.26274
32	1	0.258395	0.741605
33	1	0.744214	0.255786
34	1	0.765248	0.234752
35	1	0.562335	0.437665
36	1	0.317933	0.682067
37	1	0.0922491	0.907751
38	1	0.617564	0.382436
39	1	0.73027	0.26973
40	1	0.54997	0.45003
41	1	0.644946	0.355054
42	1	0.731475	0.268525
43	1	0.983976	0.0160244
44	1	0.440352	0.559648
45	1	0.685685	0.314315
46	1	0.471676	0.528324
47	1	0.762628	0.237372
48	1	0.6913	0.3087
49	1	0.829409	0.170591
50	1	0.568144	0.431856
51	1	0.836552	0.163448
52	1	0.482486	0.517514
53	1	0.355916	0.644084
54	1	0.685031	0.314969
55	1	0.0797069	0.920293
56	1	0.552402	0.447598
57	1	0.858748	0.141252
58	1	0.713319	0.286681
59	1	0.525233	0.474767
60	1	0.612638	0.387362
61	1	0.0853565	0.914643
62	1	0.639841	0.360159
63	1	0.68066	0.31934
64	1	0.595663	0.404337
65	1	0.77072	0.22928
66	1	0.56176	0.43824
67	1	0.776046	0.223954
68	1	0.56719	0.43281
69	1	0.670137	0.329863
70	1	0.676503	0.323497
71	1	0.337589	0.662411
72	1	0.665124	0.334876
73	1	0.894927	0.105073
74	1	0.837157	0.162843
75	1	0.602492	0.397508
76	1	0.667787	0.332213
77	1	0.899237	0.100763
78	1	0.669531	0.330469
79	1	0.495164	0.504836
80	1	0.635291	0.364709
81	1	0.655549	0.344451
82	1	0.776181	0.223819
83	1	0.701356	0.298644
84	1	0.680367	0.319633
85	1	0.665705	0.334295
86	1	0.546984	0.453016
87	1	0.720952	0.279048
88	1	0.642945	0.357055
89	1	0.432412	0.567588
90	1	0.571544	0.428456
91	1	0.843211	0.156789
92	1	0.772533	0.227467
93	1	0.678731	0.321269
94	1	0.534489	0.465511
95	1	0.798941	0.201059
96	1	0.720566	0.279434
97	1	0.65858	0.34142
98	1	0.773303	0.226697
99	1	0.513113	0.486887
100	1	0.940073	0.059927
101	1	0.562905	0.437095
102	1	1.05723	-0.0572278
103	1	0.441765	0.558235
104	1	0.7235	0.2765
105	1	0.408855	0.591145
106	1	0.883663	0.116337
107	1	0.740277	0.259723
108	1	0.479775	0.520225
109	1	0.386594	0.613406
110	1	0.724252	0.275748
111	1	0.649685	0.350315
112	1	0.675305	0.324695
113	1	0.704057	0.295943
114	1	0.84154	0.15846
115	1	0.670952	0.329048
116	1	0.536927	0.463073
117	1	0.580769	0.419231
118	1	0.773794	0.226206
119	1	0.407069	0.592931
120	1	0.734462	0.265538
121	1	0.696876	0.303124
122	1	0.855118	0.144882
123	1	0.784818	0.215182
124	1	0.750874	0.249126
125	1	0.70225	0.29775
126	1	0.952721	0.0472791
127	1	0.775888	0.224112
128	1	0.603798	0.396202
129	1	0.517171	0.482829
130	1	0.138387	0.861613
131	1	0.714881	0.285119
132	1	0.419391	0.580609
133	1	0.623937	0.376063
134	1	0.750017	0.249983
135	1	0.272002	0.727998
136	1	0.565544	0.434456
137	1	0.337162	0.662838
138	1	0.515911	0.484089
139	1	0.291623	0.708377
140	1	0.630152	0.369848
141	1	0.534202	0.465798
142	1	0.810976	0.189024
143	1	0.616547	0.383453
144	1	0.535891	0.464109
145	1	0.891113	0.108887
146	1	0.433673	0.566327
147	1	0.540879	0.459121
148	1	0.267216	0.732784
149	1	0.477738	0.522262
150	1	0.772746	0.227254
151	1	0.613783	0.386217
152	1	0.492112	0.507888
153	1	0.405637	0.594363
154	1	0.351063	0.648937
155	1	0.423054	0.576946
156	1	0.775888	0.224112
157	1	0.668619	0.331381
158	1	0.371168	0.628832
159	0	0.250313	-0.250313
160	0	0.343698	-0.343698
161	0	0.843792	-0.843792
162	0	0.488187	-0.488187
163	0	0.0817021	-0.0817021
164	0	0.486875	-0.486875
165	0	0.396631	-0.396631
166	0	0.437463	-0.437463
167	0	0.372446	-0.372446
168	0	0.209465	-0.209465
169	0	0.823213	-0.823213
170	0	0.322309	-0.322309
171	0	0.247052	-0.247052
172	0	0.684381	-0.684381
173	0	0.507579	-0.507579
174	0	0.322096	-0.322096
175	0	0.285911	-0.285911
176	0	0.642517	-0.642517
177	0	0.430571	-0.430571
178	0	0.751928	-0.751928
179	0	0.25294	-0.25294
180	0	0.830937	-0.830937
181	0	0.641003	-0.641003
182	0	0.384278	-0.384278
183	0	0.672097	-0.672097
184	0	0.661842	-0.661842
185	0	0.533388	-0.533388
186	0	0.207225	-0.207225
187	0	0.11348	-0.11348
188	0	0.526379	-0.526379
189	0	0.770146	-0.770146
190	0	0.339067	-0.339067
191	0	0.602795	-0.602795
192	0	0.579679	-0.579679
193	0	0.552401	-0.552401
194	0	0.647647	-0.647647
195	0	0.718216	-0.718216
196	0	0.245099	-0.245099
197	0	0.411629	-0.411629
198	0	0.431121	-0.431121
199	0	0.472465	-0.472465
200	0	0.450892	-0.450892
201	0	0.604325	-0.604325
202	0	0.700409	-0.700409
203	0	0.711091	-0.711091
204	0	0.713514	-0.713514
205	0	0.377103	-0.377103
206	0	0.610574	-0.610574
207	0	0.405263	-0.405263
208	0	0.624776	-0.624776
209	0	0.431733	-0.431733
210	0	0.293178	-0.293178
211	0	0.63361	-0.63361
212	0	0.479413	-0.479413
213	0	0.836105	-0.836105
214	0	0.655048	-0.655048
215	0	0.210322	-0.210322
216	0	0.74853	-0.74853
217	0	0.425476	-0.425476
218	0	0.61481	-0.61481
219	0	0.541621	-0.541621
220	0	0.403316	-0.403316
221	0	0.312364	-0.312364
222	0	0.650223	-0.650223
223	0	0.388582	-0.388582
224	0	0.145752	-0.145752
225	0	0.288984	-0.288984
226	0	0.451304	-0.451304
227	0	0.158589	-0.158589
228	0	0.472491	-0.472491
229	0	0.904733	-0.904733
230	0	0.637644	-0.637644
231	0	0.30673	-0.30673
232	0	-0.0186127	0.0186127
233	0	0.514078	-0.514078
234	0	0.535561	-0.535561
235	0	0.19484	-0.19484
236	0	0.222296	-0.222296
237	0	0.249604	-0.249604
238	0	0.0183998	-0.0183998
239	0	0.287626	-0.287626
240	0	0.205327	-0.205327
241	0	0.412836	-0.412836
242	0	0.448041	-0.448041
243	0	0.172344	-0.172344
244	0	0.296312	-0.296312
245	0	0.306749	-0.306749
246	0	0.221482	-0.221482
247	0	0.396664	-0.396664
248	0	0.599703	-0.599703
249	0	0.388698	-0.388698
250	0	0.45841	-0.45841
251	0	0.45991	-0.45991
252	0	0.33093	-0.33093
253	0	0.661512	-0.661512
254	0	-0.0999727	0.0999727
255	0	0.593251	-0.593251
256	0	0.480858	-0.480858
257	0	0.114532	-0.114532
258	0	0.418872	-0.418872
259	0	0.422586	-0.422586
260	0	0.398916	-0.398916
261	0	0.321091	-0.321091
262	0	0.320032	-0.320032
263	0	0.644776	-0.644776
264	0	0.0766759	-0.0766759
265	0	0.314793	-0.314793
266	0	0.432192	-0.432192
267	0	0.624483	-0.624483
268	0	0.257918	-0.257918
269	0	0.704896	-0.704896
270	0	0.618904	-0.618904
271	0	0.133289	-0.133289
272	0	0.256822	-0.256822
273	0	0.558008	-0.558008
274	0	-0.02797	0.02797
275	0	0.516419	-0.516419
276	0	-0.10238	0.10238
277	0	0.477112	-0.477112
278	0	0.579213	-0.579213
279	0	0.683531	-0.683531
280	0	0.284111	-0.284111
281	0	0.714774	-0.714774
282	0	0.63623	-0.63623
283	0	0.290122	-0.290122
284	0	-0.0677123	0.0677123
285	0	0.705636	-0.705636
286	0	0.416912	-0.416912
287	0	0.623791	-0.623791
288	0	0.615545	-0.615545

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
10	1.1111e-48	2.2222e-48	1
11	1.06991e-67	2.13983e-67	1
12	1.16079e-78	2.32157e-78	1
13	3.75956e-106	7.51911e-106	1
14	2.08379e-108	4.16758e-108	1
15	7.2233e-124	1.44466e-123	1
16	0	0	1
17	1.96001e-166	3.92003e-166	1
18	7.92246e-172	1.58449e-171	1
19	3.39325e-186	6.78651e-186	1
20	3.11122e-211	6.22244e-211	1
21	3.81832e-245	7.63663e-245	1
22	1.26811e-235	2.53622e-235	1
23	2.811e-247	5.622e-247	1
24	8.78304e-266	1.75661e-265	1
25	7.35956e-285	1.47191e-284	1
26	0	0	1
27	8.4276799992443e-315	1.68553999980433e-314	1
28	0	0	1
29	0	0	1
30	0	0	1
31	0	0	1
32	0	0	1
33	0	0	1
34	0	0	1
35	0	0	1
36	0	0	1
37	0	0	1
38	0	0	1
39	0	0	1
40	0	0	1
41	0	0	1
42	0	0	1
43	0	0	1
44	0	0	1
45	0	0	1
46	0	0	1
47	0	0	1
48	0	0	1
49	0	0	1
50	0	0	1
51	0	0	1
52	0	0	1
53	0	0	1
54	0	0	1
55	0	0	1
56	0	0	1
57	0	0	1
58	0	0	1
59	0	0	1
60	0	0	1
61	0	0	1
62	0	0	1
63	0	0	1
64	0	0	1
65	0	0	1
66	0	0	1
67	0	0	1
68	0	0	1
69	0	0	1
70	0	0	1
71	0	0	1
72	0	0	1
73	0	0	1
74	0	0	1
75	0	0	1
76	0	0	1
77	0	0	1
78	0	0	1
79	0	0	1
80	0	0	1
81	0	0	1
82	0	0	1
83	0	0	1
84	0	0	1
85	0	0	1
86	0	0	1
87	0	0	1
88	0	0	1
89	0	0	1
90	0	0	1
91	0	0	1
92	0	0	1
93	0	0	1
94	0	0	1
95	0	0	1
96	0	0	1
97	0	0	1
98	0	0	1
99	0	0	1
100	0	0	1
101	0	0	1
102	0	0	1
103	0	0	1
104	0	0	1
105	0	0	1
106	0	0	1
107	0	0	1
108	0	0	1
109	0	0	1
110	0	0	1
111	0	0	1
112	0	0	1
113	0	0	1
114	0	0	1
115	0	0	1
116	0	0	1
117	0	0	1
118	0	0	1
119	0	0	1
120	0	0	1
121	0	0	1
122	0	0	1
123	0	0	1
124	0	0	1
125	0	0	1
126	0	0	1
127	0	0	1
128	0	0	1
129	0	0	1
130	0	0	1
131	0	0	1
132	0	0	1
133	0	0	1
134	0	0	1
135	0	0	1
136	0	0	1
137	0	0	1
138	0	0	1
139	0	0	1
140	0	0	1
141	0	0	1
142	0	0	1
143	0	0	1
144	0	0	1
145	0	0	1
146	0	0	1
147	0	0	1
148	0	0	1
149	0	0	1
150	0	0	1
151	0	0	1
152	0	0	1
153	0	0	1
154	0	0	1
155	0	0	1
156	0	0	1
157	0	0	1
158	1	0	0
159	1	0	0
160	1	0	0
161	1	0	0
162	1	0	0
163	1	0	0
164	1	0	0
165	1	0	0
166	1	0	0
167	1	0	0
168	1	0	0
169	1	0	0
170	1	0	0
171	1	0	0
172	1	0	0
173	1	0	0
174	1	0	0
175	1	0	0
176	1	0	0
177	1	0	0
178	1	0	0
179	1	0	0
180	1	0	0
181	1	0	0
182	1	0	0
183	1	0	0
184	1	0	0
185	1	0	0
186	1	0	0
187	1	0	0
188	1	0	0
189	1	0	0
190	1	0	0
191	1	0	0
192	1	0	0
193	1	0	0
194	1	0	0
195	1	0	0
196	1	0	0
197	1	0	0
198	1	0	0
199	1	0	0
200	1	0	0
201	1	0	0
202	1	0	0
203	1	0	0
204	1	0	0
205	1	0	0
206	1	0	0
207	1	0	0
208	1	0	0
209	1	0	0
210	1	0	0
211	1	0	0
212	1	0	0
213	1	0	0
214	1	0	0
215	1	0	0
216	1	0	0
217	1	0	0
218	1	0	0
219	1	0	0
220	1	0	0
221	1	0	0
222	1	0	0
223	1	0	0
224	1	0	0
225	1	0	0
226	1	0	0
227	1	0	0
228	1	0	0
229	1	0	0
230	1	0	0
231	1	0	0
232	1	0	0
233	1	0	0
234	1	0	0
235	1	0	0
236	1	0	0
237	1	0	0
238	1	0	0
239	1	0	0
240	1	0	0
241	1	0	0
242	1	0	0
243	1	0	0
244	1	0	0
245	1	0	0
246	1	0	0
247	1	0	0
248	1	0	0
249	1	0	0
250	1	0	0
251	1	0	0
252	1	0	0
253	1	0	0
254	1	0	0
255	1	0	0
256	1	0	0
257	1	0	0
258	1	0	0
259	1	0	0
260	1	0	0
261	1	0	0
262	1	0	0
263	1	0	0
264	1	0	0
265	1	0	0
266	1	0	0
267	1	0	0
268	1	0	0
269	1	0	0
270	1	0	0
271	1	0	0
272	1	0	0
273	1	0	0
274	1	0	0
275	1	0	0
276	1	0	0
277	1	0	0
278	1	0	0

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	269	1	NOK
5% type I error level	269	1	NOK
10% type I error level	269	1	NOK