a fixed$-$effects $($M$6)$ and random effects $($M$7)$ panel regression analysis was conducted with the dependent variable Return on Assets $($ROE$).$

Model $6$: ROE$=463\mathrm{.}981+0\mathrm{.}308260\backslash$times DSO$+0\mathrm{.}142917\backslash$times DPO$0\mathrm{.}208520\backslash$times CCC$0\mathrm{.}926778\backslash$times D$/$E$+32\mathrm{.}7525\backslash$times D$/$A$0\mathrm{.}793251\backslash$times DFLe$+62\mathrm{.}5249\backslash$times SG$38\mathrm{.}9133\backslash$times l$\_$TA$37\mathrm{.}0939\backslash$times l$\_$FA$+5\mathrm{.}90602\backslash$times dt$\_2+10\mathrm{.}4152\backslash$times dt$\_3+19\mathrm{.}1171\backslash$times dt$\_4+32\mathrm{.}9893\backslash$times dt$\_5+37\mathrm{.}7208\backslash$times dt$\_6+37\mathrm{.}3201\backslash$times dt$\_7+42\mathrm{.}5007\backslash$times dt$\_8+39\mathrm{.}9034\backslash$times dt$\_9+25\mathrm{.}9096\backslash$times dt$\_10+15\mathrm{.}0202\backslash$times dt$\_11+29\mathrm{.}4512\backslash$times dt$\_12$

Model $7$: ROEit$=51\mathrm{.}7831+0\mathrm{.}0664596\backslash$times DSOit$0\mathrm{.}791821\backslash$times DPOit$0\mathrm{.}0602941\backslash$times CCCit$+$uit

Unlike model $6,$ the constant term in RE model $7$ is significant $($p $<\mathrm{.}05)$ with a coefficient of B$0=51\mathrm{.}7831$; this suggest that when all independent variables are zero, the expected baseline value of ROE is $51\mathrm{.}7831.$ There are inconsistent results, for instance, in model $6,$ CCC is the only significant variable $($p $<\mathrm{.}05)$ amongst the WCM components with a positive coefficient of B$3=0\mathrm{.}142917.$ The results imply on average, for every one$-$unit increase in Days Payables Outstanding $($DPO$),$ the dependent variable ROE increases by approximately $0\mathrm{.}142917$ units. Whereas in RE model $7,$ only DPO is negatively significant with B$2=0\mathrm{.}791821,$ suggesting on average, for every one$-$unit decrease in Days Payables Outstanding $($DPO$),$ the dependent variable ROE increases by approximately $0\mathrm{.}791821$units.

In terms of the data fit, model $6$ has high values for both LSDV R$-$squared and Within R$-$squared with $73\mathrm{.}27\%$ and $66\mathrm{.}98\%.$ As for model $7,$ the between variance in this model is favourable $(199\mathrm{.}95)$ in capturing differences between groups that suggest.

Q: The results for the dependent variable ROE are very inconsistent in the panel data above. So I did a dynamic panel data for ROE $($it is not mentioned in the above description$),$ is this the right move? would I have to fully interpret the panel data and the dynamic panel data for ROE? or can I say in one sentence that "due to the inconsistencies with the results across models for panel data ROE, a dynamic panel data was conducted and will be interpreted?