Multiple Linear Regression - Estimated Regression Equation

Pop[t] = -0.125547216990277 + 0.125002750324799Gender[t] + 0.131939818076267Standards[t] + 0.180852896225461Organization[t] -0.108880183613636Mistakes[t] -0.088318039357571Goals[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)	-0.125547216990277	0.700392	-0.1793	0.859244	0.429622
Gender	0.125002750324799	0.196521	0.6361	0.530745	0.265373
Standards	0.131939818076267	0.122173	1.0799	0.2909	0.14545
Organization	0.180852896225461	0.134968	1.34	0.192806	0.096403
Mistakes	-0.108880183613636	0.121102	-0.8991	0.377542	0.188771
Goals	-0.088318039357571	0.105553	-0.8367	0.411006	0.205503

Multiple Linear Regression - Regression Statistics
Multiple R	0.378605691271687
R-squared	0.143342269463312
Adjusted R-squared	-0.035128091065165
F-TEST (value)	0.803171288716258
F-TEST (DF numerator)	5
F-TEST (DF denominator)	24
p-value	0.558525338414916
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.51625162313468
Sum Squared Residuals	6.3963777213406

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	1	0.362684192018369	0.637315807981631
2	0	0.181831295792908	-0.181831295792908
3	0	0.466273076201508	-0.466273076201508
4	0	0.504032269088914	-0.504032269088914
5	0	0.077068071743052	-0.077068071743052
6	1	0.823762051142111	0.176237948857889
7	1	0.837387127646708	0.162612872353292
8	0	0.402089153226746	-0.402089153226746
9	1	0.543437230297291	0.456562769702709
10	1	0.415714229731343	0.584285770268657
11	1	0.747349760985383	0.252650239014617
12	0	0.55037429804876	-0.55037429804876
13	0	0.418434479972493	-0.418434479972493
14	1	0.631755269654862	0.368244730345138
15	0	0.570713682270241	-0.570713682270241
16	1	0.844324195398176	0.155675804601824
17	0	0.615409942909116	-0.615409942909116
18	1	0.237581583747032	0.762418416252968
19	0	0.527091903551545	-0.527091903551545
20	0	0.550151538014176	-0.550151538014176
21	1	0.504032269088914	0.495967730911086
22	1	0.57765075002171	0.422349249978290
23	1	0.31626860407574	0.68373139592426
24	0	0.467347558121686	-0.467347558121686
25	1	0.905143022748213	0.0948569772517865
26	1	0.570713682270241	0.429286317729759
27	0	0.554591115559079	-0.554591115559079
28	0	0.510969336840383	-0.510969336840383
29	1	0.554591115559079	0.445408884440921
30	1	0.731227194274221	0.268772805725779

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
9	0.597939484945776	0.804121030108447	0.402060515054224
10	0.547199209467708	0.905601581064585	0.452800790532292
11	0.418155892612256	0.836311785224513	0.581844107387744
12	0.336935131211402	0.673870262422805	0.663064868788598
13	0.260974195282527	0.521948390565053	0.739025804717473
14	0.184335422950306	0.368670845900612	0.815664577049694
15	0.219421766918546	0.438843533837091	0.780578233081454
16	0.152563828699617	0.305127657399235	0.847436171300383
17	0.198780005539527	0.397560011079053	0.801219994460473
18	0.246835260155120	0.493670520310241	0.75316473984488
19	0.203064385041612	0.406128770083225	0.796935614958388
20	0.494002639532341	0.988005279064682	0.505997360467659
21	0.494113942595624	0.988227885191249	0.505886057404376

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	0	0	OK
10% type I error level	0	0	OK