The phrase "a very important variable" is correct and usable in written English.
It can be used when discussing factors or elements that significantly influence an outcome or result in a particular context, such as research, analysis, or decision-making.
Example: "In our study, we found that temperature is a very important variable affecting the growth rate of the plants."
Alternatives: "a crucial factor" or "a significant element".
"Brain function is a very important variable when it comes to obesity".
The turbulent mixing rate is a very important variable in the thermal hydraulic design of nuclear reactors.
Literacy, which is loosely measured by education level, is a very important variable (significant at the 1 % level of significance) in decisions to use modern tracking devices.
Studies of other transgenic assays have shown that time after treatment is a very important variable in the analysis of mutation frequencies but that eventually a plateau frequency is reached, indicating that the mutations are neutral.
So how those people behave in terms of walking away from loans that they can make the monthly payments on but it's economically rational for them to walk is going to be a very important variable and one I can't really predict.
Second, socioeconomic information, a very important variable to predict patients' weight, was not available from data.
Turbine inlet temperature and pressure are two very important variable in designing organic cycles.
Measurements are made for the three groups using the very important variable of game-playing frequency, mainly to highlight the use trap of the July-August group in game use.
In thermal reactors, precursor concentration is a very important reactor variable because it is responsible for delayed neutron production and finally for reactor control.
This implies that yield is a very important decision variable in market participation of smallholder farmers, hence a key to unlocking the poverty trap that ensnares most of these farmers.
9 Muscle power is an understudied area in population-based studies, although it is required in the movements of sport, work and daily living and has been viewed as a very important testing variable.
