Multiple Linear Regression - Estimated Regression Equation
y[t] = + 578.648557692308 -9.9362980769231x[t] -8.35996928418795M1[t] -8.15687767094017M2[t] -27.6535456730769M3[t] -33.3247329059829M4[t] -30.0468816773504M5[t] -36.7435496794872M6[t] -38.5039196047009M7[t] -46.2133279914530M8[t] -58.2972556089744M9[t] -54.6321447649573M10[t] -9.69059161324788M11[t] + 0.709408386752137t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)578.64855769230816.53474834.995900
x-9.936298076923112.441378-0.79860.4285110.214256
M1-8.3599692841879520.977524-0.39850.6920510.346026
M2-8.1568776709401722.903424-0.35610.7233280.361664
M3-27.653545673076921.796097-1.26870.2107820.105391
M4-33.324732905982920.197267-1.650.1056190.052809
M5-30.046881677350420.393564-1.47340.1473230.073661
M6-36.743549679487220.154952-1.82310.0746590.03733
M7-38.503919604700922.634141-1.70110.0955240.047762
M8-46.213327991453022.588-2.04590.0463820.023191
M9-58.297255608974420.776147-2.8060.0072760.003638
M10-54.632144764957322.503565-2.42770.0190780.009539
M11-9.6905916132478820.101933-0.48210.6319920.315996
t0.7094083867521370.2469462.87270.0060890.003045


Multiple Linear Regression - Regression Statistics
Multiple R0.63564715575808
R-squared0.404047306623337
Adjusted R-squared0.239209327604260
F-TEST (value)2.45117847857487
F-TEST (DF numerator)13
F-TEST (DF denominator)47
p-value0.0125067927957605
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation31.7815489584879
Sum Squared Residuals47473.1421474359


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1523570.997996794872-47.9979967948715
2519561.974198717949-42.9741987179487
3509543.186939102564-34.1869391025641
4512538.22516025641-26.2251602564102
5519552.148717948718-33.148717948718
6517546.161458333333-29.1614583333334
7510535.174198717949-25.1741987179488
8509528.174198717949-19.1741987179487
9501526.735977564103-25.7359775641026
10507521.174198717949-14.1741987179488
11569576.761458333333-7.76145833333337
12580587.161458333333-7.16145833333332
13578569.5745993589748.42540064102559
14565570.487099358974-5.48709935897435
15547561.636137820513-14.6361378205129
16555556.674358974359-1.67435897435899
17562560.6616185897441.3383814102564
18561554.6743589743596.32564102564101
19555543.68709935897411.3129006410257
20544536.6870993589747.31290064102566
21537525.31258012820511.6874198717949
22543529.68709935897413.3129006410257
23594575.33806089743618.6619391025641
24611595.67435897435915.325641025641
25613578.087534.9125000000000
2661157932
27594560.21274038461533.7872596153846
28595565.18725961538529.8127403846154
29591569.17451923076921.8254807692308
30589563.18725961538525.8127403846154
31584552.231.8
32573545.227.8
33567543.76177884615423.2382211538461
34569538.230.8
35621593.78725961538527.2127403846154
36629604.18725961538524.8127403846154
37628586.60040064102641.3995993589743
38612587.51290064102624.4870993589744
39595568.72564102564126.274358974359
40597573.7001602564123.2998397435897
41593567.75112179487225.2488782051282
42590571.7001602564118.2998397435897
43580560.71290064102619.2870993589744
44574553.71290064102620.2870993589744
45573542.33838141025630.6616185897436
46573546.71290064102626.2870993589744
47620602.3001602564117.6998397435897
48626612.7001602564113.2998397435897
49620595.11330128205124.8866987179487
50588596.025801282051-8.02580128205129
51566577.238541666667-11.2385416666667
52557582.213060897436-25.2130608974359
53561576.264022435897-15.2640224358974
54549570.276762820513-21.2767628205128
55532569.225801282051-37.2258012820513
56526562.225801282051-36.2258012820513
57511550.851282051282-39.851282051282
58499555.225801282051-56.2258012820513
59555610.813060897436-55.8130608974359
60565611.276762820513-46.2767628205128
61542603.626201923077-61.626201923077