Multiple Linear Regression - Estimated Regression Equation
15thbird[t] = + 506.291897711508 + 0.470803163152721Sunset[t] + 5.64749484027154Temp[t] -2.27868079550599Dewpoint[t] + 1.57983529885717humidity[t] -0.0861605040332182`Temp^2`[t] -0.0161366503312908`Hum^2`[t] + 0.0222456963055937TempxHum[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)506.291897711508318.1218951.59150.1235830.061792
Sunset0.4708031631527210.2150932.18880.0377840.018892
Temp5.647494840271547.2610180.77780.4437170.221859
Dewpoint-2.278680795505992.946304-0.77340.4462590.223129
humidity1.579835298857172.1817320.72410.4754580.237729
`Temp^2`-0.08616050403321820.086743-0.99330.3297270.164863
`Hum^2`-0.01613665033129080.009156-1.76240.0897570.044879
TempxHum0.02224569630559370.0451340.49290.6262310.313116


Multiple Linear Regression - Regression Statistics
Multiple R0.754662553562466
R-squared0.569515569749421
Adjusted R-squared0.453615915451189
F-TEST (value)4.91386771770643
F-TEST (DF numerator)7
F-TEST (DF denominator)26
p-value0.00122598493352921
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.4321269386756
Sum Squared Residuals5415.44348732521


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171196.6957337687620.3042662312442
212021191.9199843468410.080015653159
311801189.00355145181-9.0035514518131
411671193.35947843345-26.3594784334526
511861176.454643002389.54535699762322
611681186.56666902866-18.5666690286618
711421147.42991579504-5.42991579503846
811471158.56586257362-11.5658625736162
911831179.254562938783.74543706122193
1011491183.06717951893-34.0671795189286
1111971197.46788583754-0.467885837536135
1212101186.5733778607623.4266221392438
1312061188.7821571490217.217842850983
1411961183.7297715228512.2702284771478
1511901179.6638638513410.3361361486633
1611751176.24149828463-1.24149828462561
1711861180.42208969725.57791030279946
1811721167.958388061354.04161193864511
1911521148.751512172823.2484878271796
2011541159.29858760769-5.29858760769478
2111681156.8935301312111.1064698687898
2211801180.61035015294-0.610350152941942
2311691162.304136333486.69586366652206
2411661173.68023707579-7.68023707579206
2511771175.666314666161.33368533383853
2611681163.10113771344.89886228659996
2711601153.767087500856.23291249914647
2811471173.94720833481-26.9472083348132
2911611161.97748622398-0.977486223979777
3011431140.838062403392.16193759661385
3111611167.16947863638-6.16947863637691
3211611166.4837928673-5.48379286729692
3311681159.694430083438.3055699165731
3411721172.66003497343-0.660034973426017


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.9595562301997160.08088753960056780.0404437698002839
120.9895415107914820.02091697841703640.0104584892085182
130.9856792902108650.02864141957826970.0143207097891348
140.9841601821175920.03167963576481570.0158398178824079
150.9785393987878780.04292120242424310.0214606012121215
160.9752869677615550.04942606447688990.024713032238445
170.9545374626695220.09092507466095660.0454625373304783
180.9144018939355460.1711962121289080.085598106064454
190.8749778755341980.2500442489316050.125022124465802
200.8828482659467070.2343034681065870.117151734053293
210.8835185856496490.2329628287007020.116481414350351
220.8499992214971120.3000015570057750.150000778502888
230.7224986445039660.5550027109920680.277501355496034


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 level70.538461538461538NOK