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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