Multiple Linear Regression - Estimated Regression Equation
15thbird[t] = + 153.350106858084 + 0.501760860337412Sunset[t] + 8.115864513067Temp[t] + 2.45122086910853humidity[t] -0.112231299515803`Temp^2`[t] -0.0193099449016803`Hum^2`[t] -2.40327308613827Dew[t] + 8.8544644198632pressure[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)153.350106858084504.8161930.30380.7637180.381859
Sunset0.5017608603374120.2082932.40890.0233820.011691
Temp8.1158645130674.0437592.0070.0552510.027625
humidity2.451220869108531.4476121.69330.1023510.051175
`Temp^2`-0.1122312995158030.062643-1.79160.0848470.042423
`Hum^2`-0.01930994490168030.00869-2.22210.0351870.017593
Dew-2.403273086138272.749252-0.87420.3900370.195018
pressure8.854464419863214.1518340.62570.5369810.268491


Multiple Linear Regression - Regression Statistics
Multiple R0.756266094572594
R-squared0.571938405800083
Adjusted R-squared0.45669105351549
F-TEST (value)4.9627032158425
F-TEST (DF numerator)7
F-TEST (DF denominator)26
p-value0.00114986411782847
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.39145645974
Sum Squared Residuals5384.96449484738


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171197.3585015597519.6414984402491
212021192.828840147179.17115985282978
311801189.60344318548-9.60344318548426
411671191.72087591633-24.7208759163285
511861173.7372187726712.2627812273268
611681187.2649102867-19.2649102866985
711421147.8481052525-5.84810525250457
811471158.96288777376-11.9628877737632
911831179.5959720883.40402791200273
1011491183.06536176382-34.0653617638166
1111971195.757322010551.24267798944771
1212101186.7747225485523.2252774514458
1312061188.9109919087117.0890080912908
1411961184.3952250383211.6047749616755
1511901177.3232386800712.6767613199267
1611751177.73507881088-2.7350788108751
1711861183.052835975952.94716402404726
1811721169.5728538112.42714618900421
1911521148.570503625743.42949637425899
2011541162.82155559804-8.82155559803731
2111681153.8477813059214.1522186940772
2211801181.65909167742-1.65909167741848
2311691163.378631821845.62136817815581
2411661172.72977516277-6.72977516276779
2511771174.086737953532.9132620464677
2611681162.198409126385.80159087361563
2711601153.095848283836.90415171617403
2811471171.60631079035-24.6063107903478
2911611158.801925148942.19807485105878
3011431141.42979132691.57020867310287
3111611168.67313710903-7.67313710903395
3211611164.87584103699-3.87584103699233
3311681161.938988653526.06101134648204
3411721174.77728584857-2.77728584857108


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.9800964603821750.03980707923565020.0199035396178251
120.99278377848380.01443244303240270.00721622151620134
130.9882936052548590.02341278949028260.0117063947451413
140.984498914940340.03100217011932150.0155010850596607
150.9811039500836640.03779209983267120.0188960499163356
160.9682563632945070.06348727341098610.031743636705493
170.944321332793760.1113573344124790.0556786672062394
180.8948482438623430.2103035122753130.105151756137657
190.8296857422699270.3406285154601460.170314257730073
200.8746474524233920.2507050951532170.125352547576608
210.7708264818731770.4583470362536460.229173518126823
220.6870408092911570.6259183814176870.312959190708843
230.5364627713380160.9270744573239670.463537228661984


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level50.384615384615385NOK
10% type I error level60.461538461538462NOK