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. | ||

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. | ||

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. | ||

crucialWithout the crucial variable the experiment was unable to reach a conclusion. | ||

additionalThe additional variable allowed for more nuanced analysis. | ||

exogenousThe exogenous variable had a significant effect on the dependent variable. | ||

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. | ||

primary Primary variable was defined to simplify the solution. | ||

categoricalThis categorical variable contains five important categories. | ||

controlledThe controlled variable in this experiment is temperature. | ||

causalThe causal variable has been measured to be 5.1. | ||

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. | ||

linguisticThe linguistic variable is a powerful tool for representing and manipulating imprecise information | ||

extraneousThe extraneous variable is a factor that is not directly related to the experiment but can affect the results. | ||

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. | ||

temporaryThe value is stored in a temporary variable during the calculation. | ||

binaryThe binary variable must be either 0 or 1. | ||

fourthThe fourth variable is an important factor to consider. | ||

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. | ||

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. | ||

auxiliaryWe used an auxiliary variable to solve the equation. | ||

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