Updated on March 16, 2024
| independent | The independent variable is the one that is manipulated or changed in an experiment. |
| dependent | The dependent variable in the experiment was the number of times the participant pressed the button. |
| important | The important variable in this equation is x. |
| random | The random variable X follows a normal distribution with mean 0 and variance 1. |
| dummy | To account for unobserved heterogeneity, we include a dummy variable for each individual. |
| explanatory | The explanatory variable is the independent variable in a regression equation. |
| single | The equation has a single variable |
| continuous | The continuous variable is normally distributed. |
| second | The second variable is used to store the value of the first variable. |
| local | This method includes a local variable called counter |
| key | We must remove the key variable from the formula. |
| significant | The significant variable in this equation is x. |
| only | The only variable in the sentence is 'variable'. |
| critical | The critical variable in this experiment is the temperature. |
| global | The global variable should be declared outside of any function. |
| third | The third variable is often the one that makes all the difference. |
| particular | The researcher then tested whether the particular variable of revenue was significantly related to subsequent market returns. |
| major | This major variable is responsible for the most significant changes in the system. |
| crucial | Without the crucial variable the experiment was unable to reach a conclusion. |
| endogenous | The endogenous variable in this model is the level of economic growth. |
| additional | The additional variable allowed for more nuanced analysis. |
| exogenous | The exogenous variable had a significant effect on the dependent variable. |
| complex | The complex variable z is defined as z = x + iy, where x and y are real numbers and i is the imaginary unit. |
| latent | The latent variables in the model are assumed to follow a normal distribution. |
| basic | The basic variable in this linear programming problem is x. |
| discrete | In statistics, a discrete variable is a variable that can take on only a finite number of distinct values. |
| experimental | The experimental variable was the amount of fertilizer added to the plants. |
| primary | Primary variable was defined to simplify the solution. |
| categorical | This categorical variable contains five important categories. |
| controlled | The controlled variable in this experiment is temperature. |
| environmental | The environmental variable is used to store the current working directory. |
| corresponding | The corresponding variable is used to hold the value of the current iteration. |
| latter | The latter variable is used to store the value of the previous variable. |
| causal | The causal variable has been measured to be 5.1. |
| static | The static variable can retain its value even after the function has returned and the program has continued to execute. |
| dichotomous | The dichotomous variable indicates whether or not a condition is present. |
| slack | The slack variable in linear programming can account for unused resources or capacities within a constraint. |
| quantitative | The quantitative variable is a numerical variable that can be measured and analyzed. |
| numeric | I use a simple numeric variable to count the number of times a loop runs. |
| linguistic | The linguistic variable is a powerful tool for representing and manipulating imprecise information |
| relevant | The relevant variable in this study is the number of hours of sleep per night. |
| extraneous | The extraneous variable is a factor that is not directly related to the experiment but can affect the results. |
| demographic | I was asked to complete a survey which included demographic variables such as age, gender, and race. |
| nominal | The nominal variable represents categories that have no numerical value. |
| qualitative | The researcher used a qualitative variable to measure the level of customer satisfaction. |
| subscripted | The subscripted variable showed the value 5 |
| stochastic | The stochastic variable X follows a normal distribution with mean 0 and variance 1. |
| psychological | The study investigated the relationship between psychological variables and academic performance. |
| dynamic | The dynamic variable is used to store data that can change over time. |
| composite | We 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` |
| temporary | The value is stored in a temporary variable during the calculation. |
| binary | The binary variable must be either 0 or 1. |
| scalar | The scalar variable was used to calculate the total cost of the project. |
| fourth | The fourth variable is an important factor to consider. |
| dynamical | The dynamical variable is a function of the state of a system that describes its evolution over time. |
| nonbasic | The nonbasic variable is the variable that enters the basis. |
| measured | The measured variable was temperature. |
| artificial | The artificial variable is used to convert the inequality constraints into equality constraints. |
| logical | The logical variable is used to represent a boolean value. |
| intermediate | The intermediate variable is used to store the result of an intermediate calculation. |
| ordinal | The ordinal variable is a type of categorical variable that has a natural ordering. |
| dual | The dual variable is used in optimization problems to find the optimal solution. |
| contextual | The contextual variable provides information about the context in which a specific event occurs. |
| strategic | The strategic variable was identified as the primary factor in determining the overall success of the project. |
| auxiliary | We used an auxiliary variable to solve the equation. |
| intervening | The intervening variable in the study was the participant's age. |
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