regression curve Synonyms

No Synonyms and anytonyms found

regression curve Meaning

Wordnet

regression curve (n)

a smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line

regression curve Sentence Examples

  1. The regression curve illustrated the linear relationship between the independent and dependent variables.
  2. The slope of the regression curve indicated the rate of change in the dependent variable for each unit increase in the independent variable.
  3. The regression curve provided a precise estimate of the expected value of the dependent variable given a particular value of the independent variable.
  4. The regression curve helped predict future values of the dependent variable based on historical data.
  5. By analyzing the regression curve, researchers could identify trends and patterns in data.
  6. The regression curve can be used to forecast demand, optimize processes, and make informed decisions.
  7. The regression curve assisted in understanding the influence of independent variables on a dependent variable.
  8. Deviations from the regression curve indicated potential outliers or errors in the data.
  9. The regression curve provided a basis for making inferences about the population from a sample.
  10. The regression curve allowed for the estimation of the mean and variance of the dependent variable.

FAQs About the word regression curve

a smooth curve fitted to the set of paired data in regression analysis; for linear regression the curve is a straight line

No synonyms found.

No antonyms found.

The regression curve illustrated the linear relationship between the independent and dependent variables.

The slope of the regression curve indicated the rate of change in the dependent variable for each unit increase in the independent variable.

The regression curve provided a precise estimate of the expected value of the dependent variable given a particular value of the independent variable.

The regression curve helped predict future values of the dependent variable based on historical data.