Adjectives For Regression
Discover the most popular adjectives for describing regression, complete with example sentences to guide your usage.
Updated on March 16, 2024
Choosing the right adjective to describe regression can significantly alter the meaning conveyed. A linear regression suggests a straightforward relationship between variables, while a multiple regression involves several independent variables. The term logistic regression is used for categorical outcomes. Moreover, describing a regression as spontaneous may indicate an unexpected change, whereas simple regression involves a single predictor and response variable. A complete regression, on the other hand, might imply a thorough or comprehensive analysis. These nuances highlight the importance of adjective choice in accurately conveying the complexity of regression analysis. For a deeper understanding, explore the full list of adjectives below.
| linear | We performed a linear regression where the dependent variable was age and the independent variable was years of experience. |
| multiple | Multiple regression is a statistical technique that uses multiple independent variables to predict a single dependent variable. |
| logistic | Logistic regression is a statistical model that is used to predict the probability of an event occurring. |
| spontaneous | The patient's tumor underwent spontaneous regression after the initiation of therapy. |
| simple | Simple regression is a linear regression model with only one independent variable. |
| complete | With the use of advanced therapies, the patient achieved complete regression of symptoms. |
| least | The model showed least regression in the analysis. |
| nonlinear | The nonlinear regression model is a statistical technique used to model relationships between variables that are not linear. |
| infinite | The infinite regression of self-referential statements creates a paradox. |
| partial | The partial regression coefficients for the predictors were as follows: X1 = 0.23, X2 = -0.15, and X3 = 0.31. |
| hypnotic | The therapist used hypnotic regression to access the patient's repressed memories. |
| statistical | The statistical regression analysis showed a significant positive correlation between education and income. |
| ordinary | Ordinary regression is a statistical technique used to determine the relationship between one or more independent variables and a dependent variable. |
| weighted | Weighted regression is a variant of linear regression that assigns different weights to different data points. |
| multivariate | Multivariate regression analysis was used to explore the relationship between diet and health outcomes. |
| significant | The patient experienced significant regression after stopping the medication. |
| nonparametric | The nonparametric regression technique does not make any assumptions about the underlying distribution of the data. |
| polynomial | Polynomial regression is a form of regression analysis in which the relationship between the independent variable and the dependent variable is modeled as a polynomial equation. |
| temporary | The temporary regression back to youthfulness is something we all dream of. |
| hierarchical | The researcher used hierarchical regression to analyze the effects of the independent variables on the dependent variable. |
| robust | We used robust regression to analyze the data, which is less sensitive to outliers than ordinary least squares. |
| tumor | The tumor regression was significant after the new therapy. |
| bivariate | Bivariate regression models the relationship between two dependent variables. |
| rapid | The patient's health took a rapid regression after the diagnosis. |
| variable | Variable regression is a statistical method used to estimate the relationship between a dependent variable and one or more independent variables. |
| curvilinear | Curvilinear regression is a type of regression analysis used to model nonlinear relationships between variables. |
| developmental | The child's recent developmental regression is concerning. |
| standard | The standard regression model can be used to predict the value of a continuous variable based on the values of one or more other variables. |
| past | I used past regression to explore my previous lives. |
| luteal | Luteal regression refers to the breakdown of the corpus luteum after ovulation. |
| induced | The induced regression model accurately predicted the outcomes of the experiment. |
| infantile | The sudden appearance of infantile regression in his behavior was deeply concerning to his family. |
| objective | The objective regression revealed a significant decrease in sales over the past quarter. |
| adaptive | The adaptive regression model was applied to predict the future trend of the stock market. |
| pooled | The pooled regression model is a statistical technique that combines data from multiple sources to estimate a single regression model. |
| marine | The last marine regression ended 6,000 years ago, when sea levels stabilized at their current level. |
| psychological | The patient exhibited psychological regression after the traumatic event. |
| quadratic | Quadratic regression is a type of regression analysis used to model relationships between a dependent variable and one or more independent variables. |
| life | Life regression is a type of psychotherapy that helps people to explore their past lives. |
| severe | The patient suffered a severe regression after the head injury. |
| marked | He suffered a marked regression in his primary language after a stroke. |
| wise | The wise regression made the professor reconsider her approach to teaching. |
| narcissistic | He was suffering from narcissistic regression after the breakup. |
| therapeutic | The therapist employed therapeutic regression to uncover the root of his patient's anxiety. |
| stage | Applying stage regression analysis techniques, we found that the model explained 75% of the variance in the outcome variable. |
| multinomial | Multinomial regression is a generalized linear model used for predicting the probabilities of different outcomes of a categorical dependent variable. |
| sectional | Using sectional regression you can combine multiple linear regressions to create a single predictive model.} |
| overall | "Unfortunately, I just did not perform so well this quarter. I'm showing -1.2% overall regression." Adedayo said. |
| ecological | Ecological regression is a statistical technique that is used to model the relationship between a dependent variable and one or more independent variables, while also taking into account spatial autocorrelation. |
| auxiliary | Auxiliary regression is used to predict the value of a continuous variable based on one or more independent variables. |
| apparent | The patient's condition showed no apparent regression from the previous clinical examination. |
| gradual | The patient's symptoms have shown a gradual regression over the past few days. |
| emotional | Their emotional regression made it difficult to communicate effectively. |
| classical | Determining the accuracy of classical regression requires comparing the predicted values to the actual values. |
| caudal | Caudal regression is a birth defect that affects the development of the lower spine. |
| symbolic | Symbolic regression can be used to model complex relationships between input and output variables. |
| conditional | Conditional regression is a statistical method used to estimate the relationship between a dependent variable and one or more independent variables, given a certain condition. |
| quantile | Quantile regression can be used to estimate the conditional quantiles of a response variable given a set of independent variables. |
| psychotic | The psychotic regression was a major setback in his recovery. |
| orthogonal | This orthogonal regression is a statistical method that is used to estimate the relationship between two variables. |
| oral | |
| filial | The filial regression hypothesis suggests that family relationships weaken as people age. |
| unrelated | Unrelated regression is a regression analysis where the predictor variables are not related to the dependent variable. |
| slow | Despite slow regression the patient was able to regain full mobility. |
| mean | Mean regression is a statistical phenomenon where extreme values become less extreme over time. |
| spurious | The spurious regression analysis revealed a statistically significant relationship between the two variables, but further investigation showed that the relationship was due to a third, unmeasured variable. |
| controlled | The controlled regression demonstrated a substantial reduction in baseline functional limitations. |
| forward | Forward regression is a method for selecting independent variables in a multiple regression model. |
| parametric | Parametric regression assumes that the input and output variables are related by a specific functional form, such as a linear or exponential function. |
| phenomenal | The patient's phenomenal regression was a testament to the power of the new treatment. |
| logarithmic | Logarithmic regression is a type of regression analysis that uses the logarithm of the dependent variable as the response variable. |
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