Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 18.3994219532531 + 0.521216112951609X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)18.399421953253119.9092920.92420.3592310.179615
X0.5212161129516090.1734413.00510.0039170.001958


Multiple Linear Regression - Regression Statistics
Multiple R0.36705234008517
R-squared0.134727420361999
Adjusted R-squared0.11980892760962
F-TEST (value)9.03090027915266
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.00391666502419119
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.9449615201539
Sum Squared Residuals8275.56213164159


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.774.899248597207631.8007514027924
2100.679.381707168591421.2182928314086
3101.272.501654477630128.6983455223699
493.170.938006138775322.1619938612247
584.276.0459240457018.15407595429894
685.872.605897700220513.1941022997796
791.877.088356271604314.7116437283957
892.474.325910872960718.0740891270393
980.369.947695524167210.3523044758328
1079.775.62895115533984.07104884466023
1162.573.0749922018769-10.5749922018769
1257.171.6677086969076-14.5677086969075
13100.882.978098347957517.8219016520425
14100.783.49931446090917.2006855390909
1586.277.14047788289949.05952211710056
1683.281.93566612205421.26433387794575
1771.770.8337629161850.866237083815031
1877.572.7622625341064.73773746589407
1989.881.15384195262688.64615804737316
2080.374.43015409555115.86984590444892
2178.772.03255997597376.66744002402632
2293.883.86416573997529.9358342600248
2357.674.4301540955511-16.8301540955511
2460.675.1077350423882-14.5077350423882
259185.32357085623975.67642914376029
2685.381.5186932316933.78130676830704
2777.480.6847474509704-3.28474745097038
2877.385.4799356901252-8.17993569012518
2968.375.055613431093-6.75561343109301
3069.973.3877218696479-3.48772186964785
3181.780.84111228485590.858887715144137
3275.176.4107753247672-1.31077532476719
3369.976.045924045701-6.14592404570106
348480.99747711874133.00252288125865
3554.369.217992966035-14.917992966035
366074.5343973181414-14.5343973181414
3789.984.7502331319935.14976686800707
387779.4859503911817-2.48595039118168
3985.380.84111228485594.45888771514413
4077.678.9647342782301-1.36473427823008
4169.276.2544104908817-7.0544104908817
4275.576.984113049014-1.48411304901396
4385.786.4702463047332-0.770246304733238
4472.275.2640998762736-3.06409987627365
4579.980.3198961719043-0.41989617190425
4685.382.97809834795752.32190165204253
4752.271.3549790291366-19.1549790291366
4861.277.1925994941946-15.9925994941946
4982.485.115084411059-2.71508441105905
5085.485.9490301917816-0.549030191781625
5178.283.9684089625655-5.76840896256552
5270.280.6847474509704-10.4847474509704
5370.278.7041262217543-8.50412622175427
5469.377.6095723845559-8.3095723845559
5577.586.0011518030768-8.50115180307679
5666.176.7756266038333-10.6756266038333
576979.277463946001-10.2774639460010
5875.384.2290170190413-8.92901701904132
5958.277.2447211054898-19.0447211054898
6059.778.8083694443446-19.1083694443446