Multiple Linear Regression - Estimated Regression Equation
y[t] = + 99.6478260869565 + 10.6035252643948x[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)99.64782608695652.48413740.113700
x10.60352526439483.1633723.3520.0014170.000709


Multiple Linear Regression - Regression Statistics
Multiple R0.402842176110845
R-squared0.162281818853721
Adjusted R-squared0.147838401937406
F-TEST (value)11.2356944200932
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0.00141709187417027
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation11.9135027882280
Sum Squared Residuals8232.02982373678


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.899.64782608695657.15217391304348
2113.799.647826086956514.0521739130435
3102.599.64782608695652.85217391304348
496.699.6478260869565-3.04782608695653
592.199.6478260869565-7.54782608695653
695.699.6478260869565-4.04782608695653
7102.399.64782608695652.65217391304347
898.699.6478260869565-1.04782608695653
998.299.6478260869565-1.44782608695652
10104.599.64782608695654.85217391304348
118499.6478260869565-15.6478260869565
1273.899.6478260869565-25.8478260869565
13103.999.64782608695654.25217391304348
1410699.64782608695656.35217391304348
1597.299.6478260869565-2.44782608695652
16102.699.64782608695652.95217391304347
178999.6478260869565-10.6478260869565
1893.899.6478260869565-5.84782608695653
19116.799.647826086956517.0521739130435
20106.899.64782608695657.15217391304347
2198.599.6478260869565-1.14782608695652
22118.799.647826086956519.0521739130435
239099.6478260869565-9.64782608695652
2491.9110.251351351351-18.3513513513513
25113.3110.2513513513513.04864864864865
26113.1110.2513513513512.84864864864864
27104.1110.251351351351-6.15135135135136
28108.7110.251351351351-1.55135135135135
2996.7110.251351351351-13.5513513513513
30101110.251351351351-9.25135135135135
31116.9110.2513513513516.64864864864865
32105.8110.251351351351-4.45135135135135
3399110.251351351351-11.2513513513514
34129.4110.25135135135119.1486486486487
3583110.251351351351-27.2513513513513
3688.9110.251351351351-21.3513513513513
37115.9110.2513513513515.64864864864865
38104.2110.251351351351-6.05135135135135
39113.4110.2513513513513.14864864864865
40112.2110.2513513513511.94864864864865
41100.8110.251351351351-9.45135135135135
42107.3110.251351351351-2.95135135135135
43126.6110.25135135135116.3486486486486
44102.9110.251351351351-7.35135135135135
45117.9110.2513513513517.64864864864865
46128.8110.25135135135118.5486486486487
4787.5110.251351351351-22.7513513513513
4893.8110.251351351351-16.4513513513514
49122.7110.25135135135112.4486486486487
50126.2110.25135135135115.9486486486487
51124.6110.25135135135114.3486486486486
52116.7110.2513513513516.44864864864865
53115.2110.2513513513514.94864864864865
54111.1110.2513513513510.848648648648642
55129.9110.25135135135119.6486486486487
56113.3110.2513513513513.04864864864865
57118.5110.2513513513518.24864864864865
58133.5110.25135135135123.2486486486487
59102.1110.251351351351-8.15135135135136
60102.4110.251351351351-7.85135135135135