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