Adjectives for Variable

Adjectives For Variable

Discover the most popular adjectives for describing variable, complete with example sentences to guide your usage.

Updated on March 16, 2024

The choice of adjectives associated with the noun 'variable' in sentences can significantly alter the conveyed meaning, offering a nuanced understanding of data analysis, statistics, or programming contexts. Descriptors like 'independent' and 'dependent' delve into relationships and causality, while 'important' highlights significance. 'Random' introduces an element of unpredictability, and 'dummy' relates to placeholder aspects in modelling techniques. Use of 'explanatory' sheds light on the variable's role in explaining phenomena. Each adjective shapes our comprehension of the variable's function and importance within a given context. Discover the full spectrum of adjectives that can accompany 'variable' and how they enrich your understanding of this pivotal term.
independentThe independent variable is the one that is manipulated or changed in an experiment.
dependentThe dependent variable in the experiment was the number of times the participant pressed the button.
importantThe important variable in this equation is x.
randomThe random variable X follows a normal distribution with mean 0 and variance 1.
dummyTo account for unobserved heterogeneity, we include a dummy variable for each individual.
explanatoryThe explanatory variable is the independent variable in a regression equation.
singleThe equation has a single variable
continuousThe continuous variable is normally distributed.
secondThe second variable is used to store the value of the first variable.
localThis method includes a local variable called counter
keyWe must remove the key variable from the formula.
significantThe significant variable in this equation is x.
onlyThe only variable in the sentence is 'variable'.
criticalThe critical variable in this experiment is the temperature.
globalThe global variable should be declared outside of any function.
thirdThe third variable is often the one that makes all the difference.
particularThe researcher then tested whether the particular variable of revenue was significantly related to subsequent market returns.
majorThis major variable is responsible for the most significant changes in the system.
crucialWithout the crucial variable the experiment was unable to reach a conclusion.
endogenousThe endogenous variable in this model is the level of economic growth.
additionalThe additional variable allowed for more nuanced analysis.
exogenousThe exogenous variable had a significant effect on the dependent variable.
complexThe complex variable z is defined as z = x + iy, where x and y are real numbers and i is the imaginary unit.
latentThe latent variables in the model are assumed to follow a normal distribution.
basicThe basic variable in this linear programming problem is x.
discreteIn statistics, a discrete variable is a variable that can take on only a finite number of distinct values.
experimentalThe experimental variable was the amount of fertilizer added to the plants.
primaryPrimary variable was defined to simplify the solution.
categoricalThis categorical variable contains five important categories.
controlledThe controlled variable in this experiment is temperature.
environmentalThe environmental variable is used to store the current working directory.
correspondingThe corresponding variable is used to hold the value of the current iteration.
latterThe latter variable is used to store the value of the previous variable.
causalThe causal variable has been measured to be 5.1.
staticThe static variable can retain its value even after the function has returned and the program has continued to execute.
dichotomousThe dichotomous variable indicates whether or not a condition is present.
slackThe slack variable in linear programming can account for unused resources or capacities within a constraint.
quantitativeThe quantitative variable is a numerical variable that can be measured and analyzed.
numericI use a simple numeric variable to count the number of times a loop runs.
linguisticThe linguistic variable is a powerful tool for representing and manipulating imprecise information
relevantThe relevant variable in this study is the number of hours of sleep per night.
extraneousThe extraneous variable is a factor that is not directly related to the experiment but can affect the results.
demographicI was asked to complete a survey which included demographic variables such as age, gender, and race.
nominalThe nominal variable represents categories that have no numerical value.
qualitativeThe researcher used a qualitative variable to measure the level of customer satisfaction.
subscriptedThe subscripted variable showed the value 5
stochasticThe stochastic variable X follows a normal distribution with mean 0 and variance 1.
psychologicalThe study investigated the relationship between psychological variables and academic performance.
dynamicThe dynamic variable is used to store data that can change over time.
compositeWe can create a composite variable by using the square brackets on the response path like this: `response[ respondents ][ questions ][ text ]` or with dot notation like this: `response.respondents.questions.text`
temporaryThe value is stored in a temporary variable during the calculation.
binaryThe binary variable must be either 0 or 1.
scalarThe scalar variable was used to calculate the total cost of the project.
fourthThe fourth variable is an important factor to consider.
dynamicalThe dynamical variable is a function of the state of a system that describes its evolution over time.
nonbasicThe nonbasic variable is the variable that enters the basis.
measuredThe measured variable was temperature.
artificialThe artificial variable is used to convert the inequality constraints into equality constraints.
logicalThe logical variable is used to represent a boolean value.
intermediateThe intermediate variable is used to store the result of an intermediate calculation.
ordinalThe ordinal variable is a type of categorical variable that has a natural ordering.
dualThe dual variable is used in optimization problems to find the optimal solution.
contextualThe contextual variable provides information about the context in which a specific event occurs.
strategicThe strategic variable was identified as the primary factor in determining the overall success of the project.
auxiliaryWe used an auxiliary variable to solve the equation.
interveningThe intervening variable in the study was the participant's age.

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