The following output resulted from a regression model where SAGap is seasonally adjusted Gap sales and dpi is disposable income per capita.

Audit Trail -- Coefficient Table (Mulitple Regression Selected)

Series Description

Included in Model

Coefficient

Standard Error

T-test

P-value

F-test

Elasticity

SAGAP

Dependent

-

2,867,564.78

140,536.33

-

20.40

0.00

416.34

dpi

Yes

809.79

25.04

32.33

0.00

1,045.55

2.91

Audit Trail -- Correlation Coefficient Table

Series Description

Included in Model

SAGap

dpi

SAGap

Dependent

1.00

0.97

dpi

Yes

0.97

1.00

Audit Trail - Statistics

Accuracy Measures

Value

Forecast Statistics

Value

AIC

2,135.23

Durbin Watson(4)

0.43

BIC

2,137.56

Mean

1,501,041.15

Mean Absolute Percentage Error (MAPE)

34.60

%

Standard Deviation

1,303,264.45

R-Square

94.59

%

Max

4,253,174.95

Adjusted R-Square

94.51

%

Min

123,121.77

Mean Square Error

90,711,613,878.48

Range

4,130,053.18

Root Mean Square Error

301,183.69

Root Mean Square

1,294,661.95

Theil

6.23

Ljng-Box

347.40

Multiple Choice

Top of Form

This regression model is a lagged model.

None of the options are true.

This regression model is a nonlinear model.

This regression model is a causal model.

This regression model is a multiple regression model.