Multiple Linear Regression - Estimated Regression Equation
y[t] = + 575.891780821918 + 16.9465753424657x[t] -17.2763622526636M1[t] -23.6122678843226M2[t] -41.0489041095890M3[t] -37.2962252663623M4[t] -29.1542313546423M5[t] -33.7908675799086M6[t] -43.427503805175M7[t] -51.0641400304414M8[t] -59.1007762557077M9[t] -59.3374124809741M10[t] -6.37404870624048M11[t] + 0.636636225266362t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)575.89178082191816.52068634.858800
x16.946575342465713.1415221.28950.2035190.101759
M1-17.276362252663619.160512-0.90170.3718320.185916
M2-23.612267884322620.723026-1.13940.2603010.130151
M3-41.048904109589020.696107-1.98340.0531810.02659
M4-37.296225266362320.155312-1.85040.0705410.035271
M5-29.154231354642320.118409-1.44910.1539410.07697
M6-33.790867579908620.102101-1.6810.0994050.049703
M7-43.42750380517520.088464-2.16180.0357570.017879
M8-51.064140030441420.077504-2.54340.0143290.007165
M9-59.100776255707720.069226-2.94480.0050110.002505
M10-59.337412480974120.063632-2.95750.0048410.002421
M11-6.3740487062404820.060725-0.31770.7520910.376046
t0.6366362252663620.2322272.74140.0086240.004312


Multiple Linear Regression - Regression Statistics
Multiple R0.64544639108762
R-squared0.416601043768033
Adjusted R-squared0.255235375023021
F-TEST (value)2.58172043042402
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value0.00879752481622265
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation31.4450283298445
Sum Squared Residuals46473.120913242


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1523559.25205479452-36.2520547945203
2519553.552785388128-34.5527853881279
3509536.752785388128-27.7527853881278
4512541.142100456621-29.1421004566211
5519549.920730593607-30.9207305936073
6517545.920730593607-28.9207305936073
7510536.920730593607-26.9207305936073
8509529.920730593607-20.9207305936073
9501522.520730593607-21.5207305936073
10507522.920730593607-15.9207305936073
11569576.520730593607-7.52073059360731
12580583.531415525114-3.53141552511414
13578583.838264840183-5.83826484018271
14565578.13899543379-13.1389954337900
15547561.33899543379-14.3389954337899
16555548.7817351598176.21826484018266
17562557.5603652968044.43963470319635
18561553.5603652968047.43963470319633
19555544.56036529680410.4396347031963
20544537.5603652968046.43963470319635
21537530.1603652968046.83963470319633
22543530.56036529680412.4396347031963
23594584.1603652968049.83963470319635
24611608.1176255707762.88237442922374
25613591.47789954337921.5221004566209
26611585.77863013698625.2213698630137
27594568.97863013698625.0213698630137
28595573.3679452054821.6320547945206
29591565.225.8
30589561.227.8
31584552.231.8
32573545.227.8
33567537.829.2
34569538.230.8
35621591.829.2
36629598.81068493150730.1893150684932
37628582.1709589041145.8290410958903
38612576.47168949771735.5283105022831
39595559.67168949771735.3283105022831
40597564.0610045662132.93899543379
41593572.83963470319620.1603652968037
42590568.83963470319621.1603652968037
43580559.83963470319620.1603652968036
44574552.83963470319621.1603652968037
45573545.43963470319627.5603652968036
46573545.83963470319627.1603652968037
47620599.43963470319620.5603652968036
48626606.45031963470319.5496803652968
49620589.81059360730630.1894063926940
50588601.057899543379-13.0578995433790
51566584.257899543379-18.257899543379
52557588.647214611872-31.6472146118721
53561580.479269406393-19.4792694063927
54549576.479269406393-27.4792694063927
55532567.479269406393-35.4792694063927
56526560.479269406393-34.4792694063927
57511553.079269406393-42.0792694063927
58499553.479269406393-54.4792694063927
59555607.079269406393-52.0792694063927
60565614.0899543379-49.0899543378995
61542597.450228310502-55.4502283105023