Multiple Linear Regression - Estimated Regression Equation
15thbird[t] = + 548.77411711376 + 0.457919900566662Sunset[t] + 5.5127280172675Temp[t] + 1.09183657659764humidity[t] -0.102083596676507`Temp^2`[t] -0.013112777176766`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)548.77411711376240.4279482.28250.0302580.015129
Sunset0.4579199005666620.2040892.24370.0329410.016471
Temp5.51272801726752.8025771.9670.0591610.029581
humidity1.091836576597640.875571.2470.2227280.111364
`Temp^2`-0.1020835966765070.060835-1.6780.1044690.052234
`Hum^2`-0.0131127771767660.007202-1.82080.0793370.039669


Multiple Linear Regression - Regression Statistics
Multiple R0.737883439021702
R-squared0.544471969582493
Adjusted R-squared0.46312767843651
F-TEST (value)6.69342570833109
F-TEST (DF numerator)5
F-TEST (DF denominator)28
p-value0.00032362923653384
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation14.3059540940118
Sum Squared Residuals5730.48903111925


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171197.8457459900119.1542540099918
212021193.790415397218.2095846027948
311801190.80644880763-10.8064488076261
411671194.21369657649-27.2136965764929
511861175.5419080462910.458091953708
611681187.37217838909-19.3721783890906
711421149.54093332618-7.54093332617526
811471160.06039551703-13.0603955170338
911831181.047106010541.95289398945705
1011491183.0428321893-34.0428321893003
1111971182.77831250314.2216874969967
1212101187.1538306797322.8461693202749
1312061190.239472666315.7605273336952
1411961184.1788015512811.8211984487237
1511901175.8644260775314.1355739224681
1611751175.71924552061-0.719245520613063
1711861181.233033655974.76696634402964
1811721168.405813279143.59418672086332
1911521150.157143072241.84285692776279
2011541157.02432777748-3.02432777747701
2111681156.1080736911611.8919263088425
2211801181.80325649358-1.80325649358442
2311691163.166543230935.83345676907427
2411661174.42147027175-8.42147027175305
2511771176.520800007670.479199992326284
2611681164.152581985593.84741801440634
2711601155.2915236344.70847636600119
2811471174.80080402389-27.8008040238912
2911611160.130583614980.869416385015417
3011431140.905936083692.09406391631086
3111611162.08812069216-1.08812069216002
3211611170.24096187886-9.24096187886238
3311681160.946057144187.05394285582015
3411721173.4072202145-1.40722021450305


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.5289642217574030.9420715564851950.471035778242597
100.9745896417676140.05082071646477230.0254103582323862
110.9959291643171190.008141671365761860.00407083568288093
120.9960677649434440.007864470113112060.00393223505655603
130.9946837149835580.01063257003288320.00531628501644162
140.993345567661190.01330886467761980.0066544323388099
150.9892336880631740.02153262387365290.0107663119368264
160.9851906721541180.02961865569176350.0148093278458818
170.9742520283338120.05149594333237530.0257479716661877
180.9508111687669090.09837766246618150.0491888312330908
190.9204556982185560.1590886035628880.0795443017814438
200.9236107470704690.1527785058590630.0763892529295315
210.8607632007004140.2784735985991730.139236799299586
220.8311130300350720.3377739399298550.168886969964928
230.7467550324736760.5064899350526470.253244967526324
240.6218231745584180.7563536508831640.378176825441582
250.6372080685415880.7255838629168240.362791931458412


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level20.117647058823529NOK
5% type I error level60.352941176470588NOK
10% type I error level90.529411764705882NOK