Econometrics

...

- Analysis of effects:

- Descriptive statistic:

Y

X1

X2

X3

X4

Mean

2.566333

5.651667

3.950000

1.468333

3.716667

Median

2.500000

5.600000

4.000000

1.500000

4.000000

Maximum

3.600000

7.600000

9.000000

2.500000

9.000000

Minimum

1.400000

4.300000

0.000000

0.900000

0.000000

Std. Dev.

0.494824

0.878653

2.191470

0.374388

2.982103

Skewness

-0.104727

0.156636

0.568422

0.416433

0.093193

Kurtosis

2.403079

2.003054

2.997022

2.448626

1.838220

Jarque-Bera

1.000465

2.730103

3.231063

2.494194

3.461180

Probability

0.606390

0.255368

0.198785

0.287338

0.177180

Sum

153.9800

339.1000

237.0000

88.10000

223.0000

Sum Sq. Dev.

14.44619

45.54983

283.3500

8.269833

524.6833

Observations

60

60

60

60

60

2.2 Estimate Equation

SUMMARY OUTPUT

Regression Statistics

Multiple R

0.916740373

R Square

0.840412911

Adjusted R Square

0.828806577

Standard Error

0.204736014

Observations

60

Dependent Variable: Y

Method: Least Squares

Date: 06/04/17 Time: 02:40

Sample: 1 60

Included observations: 60

Variable

Coefficient

Std. Error

t-Statistic

Prob.

C

2.157878

0.203093

10.62506

0.0000

X1

0.024494

0.034660

0.706696

0.4827

X2

0.145250

0.021021

6.909915

0.0000

X3

-0.082800

0.080326

-1.030800

0.3071

X4

-0.049006

0.015389

-3.184408

0.0024

R-squared

0.840413

Mean dependent var