Multiple Linear Regression - Estimated Regression Equation
Prijs[t] = -410.836901193789 + 0.0050609473697613Geheugen[t] + 5.78979335655382Gewicht[t] -1.58380521951428Batterijduur[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-410.83690119378967.218569-6.11200
Geheugen0.00506094736976130.0018362.75620.0078780.003939
Gewicht5.789793356553820.56263510.290500
Batterijduur-1.583805219514283.767382-0.42040.6758030.337901


Multiple Linear Regression - Regression Statistics
Multiple R0.873782425361155
R-squared0.763495726870023
Adjusted R-squared0.750825855095203
F-TEST (value)60.260730371982
F-TEST (DF numerator)3
F-TEST (DF denominator)56
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation88.2336825552115
Sum Squared Residuals435970.233286215


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1129.99112.96603488967817.0239651103223
259.9973.692460696043-13.702460696043
349.9976.0746051437857-26.0846051437857
484.99121.727573070703-36.7375730707031
5179.99198.292798821423-18.3027988214235
6329.99256.19305764148973.7969423585109
725.99-10.520759168897936.5107591688979
8499.99430.7189163647569.2710836352502
989.99170.135035515903-80.1450355159031
10119.99148.080032103506-28.0900321035057
1179.9933.988705959674446.0012940403255
12199.99197.049673639762.94032636023985
13449.99287.31065951535162.67934048465
14549.99532.85268998309217.137310016908
15529.99392.267118264895137.722881735105
16639.99469.622690103326170.367309896674
17749.99550.597848019507199.392151980493
18399.99361.94029378195938.0497062180405
19169.99210.459540660636-40.4695406606359
20189.99403.353754801495-213.363754801495
21199.99403.353754801495-203.363754801495
2269.99103.218596355635-33.2285963556354
2369.99103.218596355635-33.2285963556354
24109.9952.61834715561957.371652844381
25159.99184.426334358445-24.4363343584445
26159.99184.426334358445-24.4363343584445
27199.99360.008097115595-160.018097115595
287551.952968230105923.0470317698941
29349.99311.76543546822438.2245645317761
30439.99435.4703320232934.51966797670728
31309.99275.44287010938734.5471298906132
32379.99272.275259670358107.714740329642
33349.99217.544936543849132.445063456151
34169.99204.669747304082-34.6797473040821
35239.99272.239561731549-32.2495617315489
36229.99263.863283396279-33.8732833962792
3769.9972.1166034278644-2.12660342786444
3899.99122.418256733065-22.428256733065
3929.99-11.046883782709541.0368837827095
4039.9934.49249110778875.49750889221131
4121.99-50.297897633975672.2878976339756
42499.99337.38847634185162.60152365815
4329.99-12.673428775466342.6634287754663
4429.9930.188100614903-0.198100614903008
4549.99122.434940818351-72.4449408183509
4649.9946.06195592615683.92804407384321
4755.9928.977850493400927.0121495065992
4859.99104.107961331777-44.117961331777
4979.9985.6764070165708-5.68640701657077
50139.99197.208937648922-57.2189376489215
51159.99172.213996178064-12.2239961780638
52169.99174.182840007809-4.19284000780886
53229.99461.146573364328-231.156573364328
54249.99224.86756390855125.1224360914486
55309.99312.071446771733-2.08144677173276
56499.99425.68005108016774.3099489198331
5765.99119.18485397823-53.1948539782295
5889.99223.520538672056-133.530538672056
5989.99134.473005191403-44.4830051914026
60449.99551.71817479309-101.72817479309


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.01586525229530620.03173050459061250.984134747704694
80.02337731597371270.04675463194742540.976622684026287
90.01328202270916560.02656404541833130.986717977290834
100.004546678037434020.009093356074868040.995453321962566
110.001313762872465950.00262752574493190.998686237127534
120.004238071871763320.008476143743526630.995761928128237
130.1206735418024570.2413470836049140.879326458197543
140.09293867645446380.1858773529089280.907061323545536
150.08702363465677340.1740472693135470.912976365343227
160.07834884616900180.1566976923380040.921651153830998
170.1651349315415170.3302698630830350.834865068458483
180.120537452095410.241074904190820.87946254790459
190.099922631792820.199845263585640.90007736820718
200.7714102370623660.4571795258752690.228589762937634
210.9604302155871780.07913956882564360.0395697844128218
220.9434179787129920.1131640425740160.056582021287008
230.9217555474116110.1564889051767780.0782444525883888
240.9151251778824430.1697496442351140.0848748221175569
250.882740920215810.2345181595683780.117259079784189
260.8431324668104720.3137350663790560.156867533189528
270.9299248732614710.1401502534770570.0700751267385285
280.9023306202579660.1953387594840670.0976693797420337
290.8786364131612270.2427271736775470.121363586838773
300.8353004799625130.3293990400749750.164699520037487
310.7950652223387150.4098695553225690.204934777661285
320.8405911677265730.3188176645468530.159408832273427
330.9168720853663280.1662558292673440.0831279146336722
340.8854935517402070.2290128965195870.114506448259793
350.8436630453882830.3126739092234350.156336954611717
360.7938953614253620.4122092771492770.206104638574639
370.729837721504110.540324556991780.27016227849589
380.6620357581894020.6759284836211960.337964241810598
390.6061778233205890.7876443533588230.393822176679411
400.5229795825155810.9540408349688380.477020417484419
410.5154824673955120.9690350652089760.484517532604488
420.8086663988155050.3826672023689890.191333601184495
430.756240568348190.4875188633036190.24375943165181
440.6764799988149160.6470400023701680.323520001185084
450.6334737702184080.7330524595631840.366526229781592
460.5348067846489630.9303864307020730.465193215351037
470.4557921951001750.9115843902003510.544207804899825
480.3664177620219850.7328355240439690.633582237978015
490.2677374233380040.5354748466760080.732262576661996
500.1926141093300260.3852282186600520.807385890669974
510.1661496482717920.3322992965435840.833850351728208
520.09892397547310230.1978479509462050.901076024526898
530.4414708418028670.8829416836057340.558529158197133


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0638297872340425NOK
5% type I error level60.127659574468085NOK
10% type I error level70.148936170212766NOK