well, if ur p-value is less than a given threshold u conclude that the consider explanatory variable is significant and contribute in explaining your dependant variable.
that threshold can be 1%, 5% or 10%.
Your results suggest, for example, that fruits are significant at a level of 10%, meaning that fruits is positively associated with output.
Still we need more detail on ur investigation however to discuss detail interpretation. U have fruits and banana (for example) in ur equation, which can lead to suppurions results (as banana is a fruit) that could explain why you have only few significant variable here (some of your explanatory variable may be correlated) !
Thanks, I got it. The data analized conculiding 244 irrigation scheme (have more than 1000 ha irrigable area) within 24 districts with 5 years data. I put them all into Gretl percent to percent. I am trying to find most valuable crop per district. (I put banana because of I farm it rarely, I wanted to see effects on production (output per unit irrigated area).
I think you mean I should put more variable correlated to explain?
And another analyze is attached. It explain effects of crops on water use per unit irrigated area.
Aim of this study is to determine most succesfull agriculture districts of Turkey.
Regarding interpretation, you should consider the sign, significance and the magnitude of the coefficients attached to explanatory variables. Overall, model fitness and any postestimation tests.