REGRESSION /DESCRIPTIVES MEAN STDDEV CORR SIG N /MISSING LISTWISE /STATISTICS COEFF OUTS CI(95) BCOV R ANOVA COLLIN TOL /CRITERIA=PIN(.05) POUT(.10) /NOORIGIN /DEPENDENT Productioninmilliontonnes /METHOD=ENTER Months /SCATTERPLOT=(*ZRESID ,*ZPRED) /RESIDUALS DURBIN HISTOGRAM(ZRESID) NORMPROB(ZRESID) /CASEWISE PLOT(ZRESID) OUTLIERS(3).

Regression

Notes

Output Created 18-MAR-2015 15:01:47

Comments

Input Active Dataset DataSet4

Filter <none>

Weight <none>

Split File <none>

N of Rows in Working Data

File128

Missing Value Handling Definition of Missing User-defined missing values are treated

as missing.

Cases Used Statistics are based on cases with no

missing values for any variable used.

Syntax REGRESSION

/DESCRIPTIVES MEAN STDDEV

CORR SIG N

/MISSING LISTWISE

/STATISTICS COEFF OUTS CI(95)

BCOV R ANOVA COLLIN TOL

/CRITERIA=PIN(.05) POUT(.10)

/NOORIGIN

/DEPENDENT

Productioninmilliontonnes

/METHOD=ENTER Months

/SCATTERPLOT=(*ZRESID ,*ZPRED)

/RESIDUALS DURBIN

HISTOGRAM(ZRESID)

NORMPROB(ZRESID)

/CASEWISE PLOT(ZRESID)

OUTLIERS(3).

Resources Processor Time 00:00:01.53

Elapsed Time 00:00:01.50

Memory Required 1740 bytes

Additional Memory Required

for Residual Plots912 bytes

Descriptive Statistics

Mean Std. Deviation N

Production (in million tonnes) 16.7709 4.40351 120

Months 60.50 34.785 120

Correlations

Production (in

million tonnes) Months

Pearson Correlation Production (in million tonnes) 1.000 .978

Months .978 1.000

Sig. (1-tailed) Production (in million tonnes) . .000

Months .000 .

N Production (in million tonnes) 120 120

Months 120 120

Variables Entered/Removeda

Model

Variables

Entered

Variables

Removed Method

1 Monthsb . Enter

a. Dependent Variable: Production (in million tonnes)

b. All requested variables entered.

Model Summaryb

Model R R Square

Adjusted R

Square

Std. Error of the

Estimate Durbin-Watson

1 .978a .957 .957 .91458 .640

a. Predictors: (Constant), Months

b. Dependent Variable: Production (in million tonnes)

ANOVAa

Model Sum of Squares df Mean Square F Sig.

1 Regression 2208.814 1 2208.814 2640.681 .000b

Residual 98.702 118 .836

Total 2307.516 119

a. Dependent Variable: Production (in million tonnes)

b. Predictors: (Constant), Months

Coefficientsa

Model

Unstandardized Coefficients

Standardized

Coefficients

t Sig.B Std. Error Beta

1 (Constant) 9.278 .168 55.215 .000

Months .124 .002 .978 51.388 .000

Coefficientsa

Model

95.0% Confidence Interval for B Collinearity Statistics

Lower Bound Upper Bound Tolerance VIF

1 (Constant) 8.945 9.610

Months .119 .129 1.000 1.000

a. Dependent Variable: Production (in million tonnes)

Coefficient Correlationsa

Model Months

1 Correlations Months 1.000

Covariances Months 5.809E-6

a. Dependent Variable: Production (in million

tonnes)

Collinearity Diagnosticsa

Model Dimension Eigenvalue Condition Index

Variance Proportions

(Constant) Months

1 1 1.868 1.000 .07 .07

2 .132 3.759 .93 .93

a. Dependent Variable: Production (in million tonnes)

Residuals Statisticsa

Minimum Maximum Mean Std. Deviation N

Predicted Value 9.4015 24.1403 16.7709 4.30830 120

Residual -1.90403 2.22212 .00000 .91073 120

Std. Predicted Value -1.711 1.711 .000 1.000 120

Std. Residual -2.082 2.430 .000 .996 120

a. Dependent Variable: Production (in million tonnes)

Charts