Multiple Linear Regression - Estimated Regression Equation
15thbird[t] = -1047.45044650287 + 0.770045973168245Temp[t] -0.255581833737266Humidity[t] -14.6249532622411Rain[t] + 0.0419437695136377Date[t] + 0.431489551630084Sunset[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1047.45044650287217015.191926-0.00480.9961840.498092
Temp0.7700459731682450.6454521.1930.2432350.121618
Humidity-0.2555818337372660.177671-1.43850.1617820.080891
Rain-14.62495326224118.300805-1.76190.0894120.044706
Date0.04194376951363775.223880.0080.9936530.496826
Sunset0.4314895516300843.2745510.13180.8961430.448071


Multiple Linear Regression - Regression Statistics
Multiple R0.687038692078926
R-squared0.472022164413522
Adjusted R-squared0.374248491156767
F-TEST (value)4.82770206632192
F-TEST (DF numerator)5
F-TEST (DF denominator)27
p-value0.00278467856797981
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation15.0975073319367
Sum Squared Residuals6154.23764622283


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112171196.9739915015820.0260084984169
212021201.758420365610.241579634389111
311801202.1170220334-22.1170220334035
411671196.75994735531-29.7599473553061
511861165.606265270420.393734729596
611681167.690970849530.309029150470734
711421155.38341962352-13.3834196235232
811471172.25495051029-25.2549505102938
911831178.652544492594.3474555074099
1011491180.34212283803-31.3421228380279
1111971183.2943127728113.7056872271942
1212101182.3093668285627.6906331714437
1312061188.9353050842817.0646949157246
1411961178.9426569878217.0573430121778
1511901180.550094530129.44990546987804
1611751175.1285861891-0.128586189104643
1711861176.54398464959.45601535049753
1811721170.738084275331.26191572467014
1911521151.844710193150.155289806853306
2011541152.861195699281.1388043007159
2111681167.333586961840.666413038156694
2211801176.735824977593.2641750224126
2311691166.155639569772.84436043022833
2411661170.66403527176-4.66403527175523
2511771172.364979771154.63502022884596
2611681164.916783858113.0832161418875
2711601161.50609168277-1.506091682766
2811471155.61343836411-8.61343836411271
2911611164.60860180131-3.60860180130803
3011611169.94817666742-8.94817666742324
3111611172.51267409709-11.5126740970894
3211681161.311055747266.68894425273789
3311721174.64115917959-2.64115917959308


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.9824944290511560.03501114189768840.0175055709488442
100.999931751463090.0001364970738195556.82485369097773e-05
110.9999945225454171.09549091659342e-055.47745458296712e-06
120.9999991104457371.77910852589715e-068.89554262948577e-07
130.9999964715217337.05695653346068e-063.52847826673034e-06
140.9999953625490929.2749018156036e-064.6374509078018e-06
150.9999910450809741.79098380510088e-058.95491902550442e-06
160.999964421155227.11576895591487e-053.55788447795744e-05
170.9999546300142239.07399715544781e-054.53699857772391e-05
180.9998254068894360.0003491862211284010.0001745931105642
190.9992918842280310.001416231543938310.000708115771969155
200.998244329237710.003511341524579230.00175567076228962
210.9964717691164960.007056461767007060.00352823088350353
220.9909924802708250.01801503945835010.00900751972917505
230.9698628412620440.06027431747591160.0301371587379558
240.9847129720144550.03057405597108980.0152870279855449


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level120.75NOK
5% type I error level150.9375NOK
10% type I error level161NOK