Submitted by: Submitted by minhphuong
Views: 155
Words: 687
Pages: 3
Category: English Composition
Date Submitted: 05/12/2013 02:56 PM
Full Name: Dang Thi Minh Phuong
Class: EBBA-3B
Code Number: CQ53 3039
HOME ASSIGNMENT
Subject: Road, railroad and pipeline transport
Overview:
In this assignment I will be examining the impact of labor on gross output in Road, railroad and pipeline transport industry.
I. Run the regression model that gross output (GO) depends on two explanatory variables: Total wage (WAGE) and total Income (INCOME)
Command: LS GO C INCOME WAGE
Model: GO = GO=β1+β2INCOME+β3 WAGE+u
Significant level: α=5% (0.05)
* Correlation:
| ASSET | GO | INCOME | LABOR | RATIOKL | VA | WAGE |
ASSET | 1.000000 | 0.208956 | 0.560859 | 0.277331 | 0.387120 | 0.213344 | 0.560483 |
GO | 0.208956 | 1.000000 | 0.159089 | 0.058212 | -0.028989 | 0.960882 | 0.158529 |
INCOME | 0.560859 | 0.159089 | 1.000000 | 0.461684 | 0.013956 | 0.162144 | 0.999997 |
LABOR | 0.277331 | 0.058212 | 0.461684 | 1.000000 | -0.046798 | 0.045085 | 0.460767 |
RATIOKL | 0.387120 | -0.028989 | 0.013956 | -0.046798 | 1.000000 | -0.014457 | 0.014086 |
VA | 0.213344 | 0.960882 | 0.162144 | 0.045085 | -0.014457 | 1.000000 | 0.161562 |
WAGE | 0.560483 | 0.158529 | 0.999997 | 0.460767 | 0.014086 | 0.161562 | 1.000000 |
GO has the positive correlation with the independent variable: Asset, income, labor, wage; but negative correlation with Ratiolkl. The correlation with labor, income, wage… is low
Dependent Variable: GO |
Method: Least Squares |
Date: 04/26/13 Time: 13:05 |
Sample(adjusted): 1 199 |
Included observations: 199 after adjusting endpoints |
Variable | Coefficient | Std. Error | t-Statistic | Prob. |
C | 47711.14 | 13745.20 | 3.471113 | 0.0006 |
INCOME | 2073.733 | 670.2326 | 3.094049 | 0.0023 |
WAGE | -2070.564 | 670.5192 | -3.088000 | 0.0023 |
R-squared | 0.070426 | Mean dependent var | 65842.95 |
Adjusted R-squared | 0.060941 | S.D. dependent var | 186289.4 |
S.E. of regression | 180523.9 |...