regression of y on x Synonyms

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regression of y on x Meaning

Wordnet

regression of y on x (n)

the equation representing the relation between selected values of one variable (x) and observed values of the other (y); it permits the prediction of the most probable values of y

regression of y on x Sentence Examples

  1. The regression of y on x revealed a strong negative correlation between the two variables.
  2. The regression equation for y on x indicates that y decreases by 2 units for every 1 unit increase in x.
  3. The coefficient of determination for the regression of y on x is 0.95, suggesting that 95% of the variation in y can be explained by the variation in x.
  4. The residual plot for the regression of y on x shows a random distribution of points, indicating that the model is an appropriate fit for the data.
  5. The regression of y on x with x2 as a quadratic term revealed a parabolic relationship between the variables.
  6. The regression of y on x with log(x) as an independent variable produced a linear relationship between the transformed variables.
  7. The multiple regression of y on x1, x2, and x3 indicated that x1 and x3 had significant effects on y, while x2 did not.
  8. The stepwise regression of y on x1, x2, x3, and x4 identified x1 and x3 as the most important predictors of y.
  9. The regression tree for y on x1, x2, and x3 split the data into distinct groups with different regression lines.
  10. The elastic net regression of y on x1, x2, and x3 produced a model with both L1 and L2 regularization, reducing overfitting and improving predictive performance.

FAQs About the word regression of y on x

the equation representing the relation between selected values of one variable (x) and observed values of the other (y); it permits the prediction of the most p

No synonyms found.

No antonyms found.

The regression of y on x revealed a strong negative correlation between the two variables.

The regression equation for y on x indicates that y decreases by 2 units for every 1 unit increase in x.

The coefficient of determination for the regression of y on x is 0.95, suggesting that 95% of the variation in y can be explained by the variation in x.

The residual plot for the regression of y on x shows a random distribution of points, indicating that the model is an appropriate fit for the data.