DiD_results.txt

did = lm(Revenue - treatment + time + did, data = df_ral)
summary(did)

Call: 
lm(formula = Revenue - treatment + time + did, data = df_ral)

Residuals: 
Min     1Q      Median    3Q      Max
-9497   -4226   -1632     1550    65547

Coefficients:

                Estimate Std.   Error       t-value       Pr(>|t|)
(Intercept)     11560.0         944.5       12.240        < 2e-16  ***
treatment       03422.5         1335.7      -2.562        0.01084  *
time            -3720.6         1283.3      -2.899        0.00399  *
did             3450.0          1814.8      1.901         0.05816  .
-----
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 8288 on 332 degrees of freedom
Multiple R-squared: 0.03321, Adjusted R-squared: 0.02447
F-statistic: 3.801 on 3 and 332 DF, p-value: 0.01055