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.

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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