1. Model 1: OLS, using observations 1-706 Dependent variable: RST Coefficient Std. Error t-ratio p-value const 3586.38 38.9124 92.17 <0.0001 *** TOTWRK −0.150746 0.0167403 −9.005 <0.0001 *** Mean dependent var 3266.356 S.D. dependent var 444.4134 Sum squared resid 1.25e+08 S.E. of regression 421.1357 R-squared 0.103287 Adjusted R-squared 0.102014 F(1, 704) 81.08987 P-value(F) 1.99e-1810538.19 Log-likelihood −5267.096 Akaike criterion 10538.19 Schwarz criterion 10547.31 Hannan-Quinn 10541.71 RSTi =3586.38−0.150746 x TOTWRKi , R2=0.103287,SER=421.1357 (38.9124) (0.0167403) Question? Test the significance of the slope coefficient of the regression in Part (1) above. Use 5% level of significance on: a. Level of significance approach (show your calculations of t-ratio) b. P-value approach (show your calculation of p-value)
1. Model 1: OLS, using observations 1-706 Dependent variable: RST Coefficient Std. Error t-ratio p-value const 3586.38 38.9124 92.17 <0.0001 *** TOTWRK −0.150746 0.0167403 −9.005 <0.0001 *** Mean dependent var 3266.356 S.D. dependent var 444.4134 Sum squared resid 1.25e+08 S.E. of regression 421.1357 R-squared 0.103287 Adjusted R-squared 0.102014 F(1, 704) 81.08987 P-value(F) 1.99e-1810538.19 Log-likelihood −5267.096 Akaike criterion 10538.19 Schwarz criterion 10547.31 Hannan-Quinn 10541.71 RSTi =3586.38−0.150746 x TOTWRKi , R2=0.103287,SER=421.1357 (38.9124) (0.0167403) Question? Test the significance of the slope coefficient of the regression in Part (1) above. Use 5% level of significance on: a. Level of significance approach (show your calculations of t-ratio) b. P-value approach (show your calculation of p-value)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
1.
Model 1: OLS, using observations 1-706
Dependent variable: RST
| Coefficient | Std. Error | t-ratio | p-value | ||
| const | 3586.38 | 38.9124 | 92.17 | <0.0001 | *** |
| TOTWRK | −0.150746 | 0.0167403 | −9.005 | <0.0001 | *** |
| Mean dependent var | 3266.356 | S.D. dependent var | 444.4134 |
| Sum squared resid | 1.25e+08 | S.E. of regression | 421.1357 |
| R-squared | 0.103287 | Adjusted R-squared | 0.102014 |
| F(1, 704) | 81.08987 | P-value(F) | 1.99e-1810538.19 |
| Log-likelihood | −5267.096 | Akaike criterion | 10538.19 |
| Schwarz criterion | 10547.31 | Hannan-Quinn | 10541.71 |
RSTi =3586.38−0.150746 x TOTWRKi , R2=0.103287,SER=421.1357
(38.9124) (0.0167403)
Question?
Test the significance of the slope coefficient of the regression in Part (1) above. Use 5% level of significance on:
a. Level of significance approach (show your calculations of t-ratio) b. P-value approach (show your calculation of p-value)
please show the complete steps as well as the interpretation(s) involved in each of the above approaches
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