Multiple Linear Regression - Estimated Regression Equation
Coffee[t] = -126.644403449146 + 1.11859932108523Tea[t] + 0.375159164294309Sugar[t] + 0.536573708762059Water[t] + 0.322868064613424Soda[t] + 0.115372489905679SaraLee[t] + 0.0139559697604042Starbucks[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-126.64440344914646.441652-2.7270.0093640.004682
Tea1.118599321085230.1629036.866700
Sugar0.3751591642943090.3130241.19850.2376050.118802
Water0.5365737087620590.1957692.74090.0090360.004518
Soda0.3228680646134240.2400951.34480.1860980.093049
SaraLee0.1153724899056790.171710.67190.5054150.252707
Starbucks0.01395596976040420.065690.21250.8328070.416403


Multiple Linear Regression - Regression Statistics
Multiple R0.974260332908292
R-squared0.949183196278576
Adjusted R-squared0.941746590855928
F-TEST (value)127.636622132450
F-TEST (DF numerator)6
F-TEST (DF denominator)41
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.16191788971606
Sum Squared Residuals55.3521804801312


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1108.35111.286568463747-2.93656846374714
2109.87111.371149575270-1.50114957527021
3111.3111.2334605815520.0665394184476699
4115.5114.0808674480281.41913255197175
5116.22115.8523387167470.367661283252621
6116.63115.9093856036760.720614396323876
7116.84116.1066648708910.733335129109454
8116.63117.191016943971-0.561016943971362
9117.03117.100996026014-0.0709960260141837
10117116.3702051198490.629794880151317
11117.14116.6974136402410.442586359758654
12116.64117.312085255530-0.672085255529643
13117.24118.171531915554-0.931531915553823
14117.52117.732464324328-0.212464324328356
15117.83119.278475908187-1.44847590818745
16119.79118.9713871635720.818612836428159
17120.86119.9153325744450.944667425554969
18120.75119.4526953608161.29730463918384
19120.63119.1320308342671.49796916573295
20120.89119.6589887909381.23101120906196
21120.23120.351443866879-0.121443866879432
22121.19120.6300498648380.559950135161718
23120.79120.0604710640390.729528935960546
24120.09121.251284854193-1.16128485419304
25120.86121.490990184969-0.630990184968984
26121.1122.661861741368-1.56186174136849
27121.47121.60880218324-0.138802183239909
28122.01123.741377513773-1.73137751377329
29123.94124.649735507669-0.709735507669219
30125.78124.180038999881.59996100011995
31125.31125.348127055936-0.0381270559364169
32125.79125.1645394763580.625460523641864
33126.12125.9155841778910.204415822109054
34125.57124.2392693881411.33073061185877
35125.44124.8563239321510.583676067848552
36126.12124.9182600820921.20173991790849
37126.01126.055500963984-0.0455009639843438
38126.5126.693104733134-0.193104733134405
39126.13126.458326555763-0.328326555763218
40126.66125.5186839111351.14131608886536
41126.33126.424091947799-0.0940919477993204
42126.61127.559362280375-0.949362280374524
43126.36127.392999077399-1.03299907739879
44126.83127.38252257839-0.552522578390062
45125.9128.455387995298-2.55538799529801
46126.29126.937758749482-0.647758749481735
47126.37124.5335731202581.83642687974182
48125.11124.2654690759380.844530924062021


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.4511207330952650.9022414661905310.548879266904735
110.2906887452678030.5813774905356060.709311254732197
120.491458755443140.982917510886280.50854124455686
130.5252448241178710.9495103517642570.474755175882129
140.5148074355542730.9703851288914540.485192564445727
150.5499496548990340.9001006902019310.450050345100966
160.6160899907179050.767820018564190.383910009282095
170.6094444277697040.7811111444605910.390555572230296
180.6110660849453230.7778678301093540.388933915054677
190.5623973978544170.8752052042911660.437602602145583
200.5703200567560840.8593598864878320.429679943243916
210.7542547275711390.4914905448577230.245745272428862
220.686687294515420.626625410969160.31331270548458
230.6210571540335020.7578856919329970.378942845966498
240.6277209393682420.7445581212635170.372279060631758
250.5652395633381280.8695208733237450.434760436661872
260.7015020444493290.5969959111013430.298497955550671
270.785568908818330.428862182363340.21443109118167
280.9882199256651330.02356014866973430.0117800743348672
290.9992086432567870.001582713486425920.000791356743212961
300.9992644061555960.001471187688808730.000735593844404367
310.9986103409808620.002779318038276060.00138965901913803
320.9966834643482460.006633071303508780.00331653565175439
330.9921481667319640.01570366653607260.00785183326803628
340.983758679914650.03248264017070160.0162413200853508
350.9793928273195270.04121434536094540.0206071726804727
360.950620595680040.09875880863991940.0493794043199597
370.9102835802914310.1794328394171380.0897164197085688
380.8203801257675730.3592397484648540.179619874232427


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.137931034482759NOK
5% type I error level80.275862068965517NOK
10% type I error level90.310344827586207NOK