Multiple Linear Regression - Estimated Regression Equation

Oppervlaktespanning[t] = + 45.9629121865768 -0.113015710235664Temperatuur[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	45.9629121865768	0.164407	279.5683	0	0
Temperatuur	-0.113015710235664	0.001406	-80.3984	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.999073059450436
R-squared	0.998146978119655
Adjusted R-squared	0.997992559629626
F-TEST (value)	6463.90842141838
F-TEST (DF numerator)	1
F-TEST (DF denominator)	12
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.2408374414924
Sum Squared Residuals	0.696032078695263

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	41.6	41.4422837771502	0.157716222849771
2	39.5	39.521016703144	-0.0210167031439566
3	38.3	38.085717183151	0.214282816848979
4	37.8	38.0518124700803	-0.251812470080322
5	37.2	36.9216553677237	0.278344632276328
6	36.6	36.9216553677237	-0.321655367723673
7	35	34.6613411630104	0.338658836989614
8	34.4	34.6613411630104	-0.261341163010388
9	33.2	33.5311840606537	-0.331184060653739
10	32.3	32.4010269582971	-0.101026958297101
11	30.4	30.1407127535838	0.259287246416188
12	27.9	27.8803985488705	0.0196014511294768
13	25.7	25.6200843441572	0.079915655842766
14	23.3	23.3597701394439	-0.0597701394439438