Multiple Linear Regression - Estimated Regression Equation
15thbird[t] = + 421.479802505081 + 0.496443514709184Sunset[t] + 8.64553618385391Temp[t] -2.94716695375738Dewpoint[t] + 2.38431188861549humidity[t] -0.115775601570986`Temp^2`[t] -0.0179091849904993`Hum^2`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)421.479802505081263.789741.59780.1217290.060865
Sunset0.4964435147091840.2057612.41270.0228970.011448
Temp8.645536183853913.9093392.21150.0356520.017826
Dewpoint-2.947166953757382.578644-1.14290.2631080.131554
humidity2.384311888615491.4272961.67050.1063720.053186
`Temp^2`-0.1157756015709860.06168-1.8770.0713570.035679
`Hum^2`-0.01790918499049930.008301-2.15740.0400390.02002


Multiple Linear Regression - Regression Statistics
Multiple R0.751992865484892
R-squared0.565493269740178
Adjusted R-squared0.468936218571329
F-TEST (value)5.85657145588778
F-TEST (DF numerator)6
F-TEST (DF denominator)27
p-value0.000517944876300303
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.2283539927091
Sum Squared Residuals5466.04354822972


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171196.1157602069920.8842397930099
212021192.892074025369.1079259746357
311801189.73925669803-9.73925669802537
411671191.68081406867-24.6808140686664
511861174.469132141911.5308678580973
611681187.69385457497-19.6938545749663
711421149.67603356942-7.67603356941692
811471160.04602135012-13.0460213501154
911831179.233325985323.76667401467858
1011491182.0875012562-33.0875012562041
1111971196.802891583130.197108416872642
1212101185.8363134565824.1636865434237
1312061189.7900735248316.2099264751651
1411961184.0814585930811.9185414069215
1511901178.4124352851811.5875647148206
1611751176.27550075123-1.27550075122509
1711861181.223302554554.77669744545002
1811721167.878386115174.12161388482779
1911521149.512571814482.48742818551605
2011541158.17535822693-4.1753582269328
2111681153.8961294580514.1038705419459
2211801181.52208449379-1.52208449378772
2311691163.421629557875.57837044213443
2411661173.55451423993-7.55451423992856
2511771176.270621374960.729378625042664
2611681163.669733404164.33026659583634
2711601154.837683317955.162316682051
2811471174.0380386904-27.0380386903969
2911611160.400317223590.599682776414139
3011431140.548539819382.45146018062296
3111611165.24447407681-4.244474076806
3211611166.00415904127-5.00415904127105
3311681159.675846698328.32415330167998
3411721175.2941628214-3.29416282140373


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.8812811269740230.2374377460519550.118718873025977
110.9758151772964950.04836964540700970.0241848227035049
120.9910968344548740.01780633109025110.00890316554512557
130.9907748880133640.01845022397327290.00922511198663643
140.9893361093339450.02132778133211030.0106638906660551
150.9832818577345670.03343628453086650.0167181422654332
160.9792905291645620.04141894167087490.0207094708354374
170.9633934757860140.07321304842797120.0366065242139856
180.9314817280025040.1370365439949930.0685182719974963
190.8873493848749440.2253012302501130.112650615125056
200.8995065549321620.2009868901356760.100493445067838
210.817431271702260.3651374565954790.18256872829774
220.7763478040536580.4473043918926840.223652195946342
230.6675596227248740.6648807545502520.332440377275126
240.5051384094066780.9897231811866440.494861590593322


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level60.4NOK
10% type I error level70.466666666666667NOK