You forgot the constant.
-sven
On 12/14/2011 08:25 AM, clarodina(a)lycos.com wrote:
> Allin Cottrell,
>
> The scatterplot with v1 on y axis and v2 on x axis gives y=17.9+0.0453x
>
> Using ols v1 v2 OR ols v2 v1 gives 0.181744 and 5.49601 coefficient
> which is different
> the scatterplot
>
> And the graph for selecting v1 against v2 fiitted vs obs is different
> from the graph from the scatterplot
>
> Wanted to save the residual against v2 from the scatterplot and have the
> value on the gretl
> How to do using GUI rather the command?
>
> Clarodina
>
>
> ? m6 <- ols v1 v2
>
> m6: OLS, using observations 1950-1954 (T = 5)
> Dependent variable: v1
>
> coefficient std. error t-ratio p-value
> --------------------------------------------------------
> v2 0.181744 0.00306098 59.37 4.82e-07 ***
>
> Mean dependent var 23.84800 S.D. dependent var 0.313321
> Sum squared resid 3.223300 S.E. of regression 0.897678
> R-squared 0.998867 Adjusted R-squared 0.998867
> F(1, 4) 3525.337 P-value(F) 4.82e-07
> Log-likelihood -5.997112 Akaike criterion 13.99422
> Schwarz criterion 13.60366 Hannan-Quinn 12.94599
> rho 0.620803 Durbin-Watson 0.419277
>
> ? m6 <- ols v2 v1
>
> m6: OLS, using observations 1950-1954 (T = 5)
> Dependent variable: v2
>
> coefficient std. error t-ratio p-value
> --------------------------------------------------------
> v1 5.49601 0.0925651 59.37 4.82e-07 ***
>
> Mean dependent var 131.0220 S.D. dependent var 6.532206
> Sum squared resid 97.47384 S.E. of regression 4.936442
> R-squared 0.998867 Adjusted R-squared 0.998867
> F(1, 4) 3525.337 P-value(F) 4.82e-07
> Log-likelihood -14.52006 Akaike criterion 31.04012
> Schwarz criterion 30.64955 Hannan-Quinn 29.99189
> rho 0.635889 Durbin-Watson 0.420088
>
>
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