residuals Antonyms
Strongest:
Strong:
Weak:
- stumps
- pickings
- fat
- scraps
- overages
- butts
- leftovers
- fag-ends
- mementoes
- remainders
- echoes
- slivers
- ghosts
- excesses
- surpluses
- remembrances
- splinters
- corpses
- odds-and-ends
- pieces
- mementos
- echos
- vestiges
- shreds
- flakes
- balances
- scrapings
- stubs
- shadows
- aftertastes
- refuses
- tatters
- afterimages
- ribbons
- hangovers
- oddments
- superfluities
- chips
- relics
Meaning of residuals
residuals
leaving a residue that is effective for some time afterward, a residual product or substance, the difference between results obtained by observation and by computation from a formula or between the mean of several observations and any one of them, of, relating to, or being something that remains, a residual product, substance, or result, of, relating to, or being a residue, a payment (as to an actor or writer) for each rerun after an initial showing (as of a TV show), remainder, residuum, remaining in a body cavity after maximum normal expulsion has occurred, remaining after a disease or operation, a disability remaining from a disease or operation, leaving a residue that remains effective for some time, of, relating to, or constituting a residue, an internal aftereffect of experience or activity that influences later behavior
residuals Sentence Examples
- The residuals from the regression model indicate the amount of unexplained variance in the dependent variable.
- The calculation of residuals helps determine the goodness of fit of a statistical model.
- Residuals can be used to detect patterns or outliers that may not be evident in the raw data.
- Positive residuals suggest that the model underestimates the response variable, while negative residuals indicate overestimation.
- Residual analysis can identify potential problems with the model or the data, such as outliers or influential points.
- Standardized residuals allow for the comparison of residuals from different models with different scales.
- Residuals can be used to verify assumptions of the statistical model, such as normality and homoscedasticity.
- Predicted values can be calculated by adding residuals to the fitted values from the model.
- Residuals are often visualized using scatterplots or residual versus fitted plots.
- Residual analysis is an essential step in model evaluation and refinement.
FAQs About the word residuals
leaving a residue that is effective for some time afterward, a residual product or substance, the difference between results obtained by observation and by comp
residues, dregs, remnants, remains, traces, reminders, leavings, rests,fragments, leftovers
weights, mains, bodies,masses,bulks,wholes, mosts
The residuals from the regression model indicate the amount of unexplained variance in the dependent variable.
The calculation of residuals helps determine the goodness of fit of a statistical model.
Residuals can be used to detect patterns or outliers that may not be evident in the raw data.
Positive residuals suggest that the model underestimates the response variable, while negative residuals indicate overestimation.
