r-squared

Model fit measure

R-squared is a statistical measure indicating how well data fits a model, expressed as a value between 0 and 1.

An r-squared of 0.85 means the model explains 85% of the variation in the data.

The closer to 1, the better the fit.

Also written R² or r², it appears constantly in regression analysis: The r-squared was low, suggesting other factors were at play.

statistics

coefficient

Number multiplying a variable

explained · fit · correlation · model · predictive · linear · adjusted · multiple · residuals · proportion

finance

portfolio

Collected works or assets

  • returnsProfits from investments
  • alphaFirst Greek letter
  • betaGreek alphabet's second letter

index · benchmark · tracking · diversification · market · risk · Sharpe · investment · hedge · ETF

evaluation

accuracy

Degree of correctness

threshold · interpretation · overfitting · underfitting · validation · cross-validation · reliability · strength · weakness · limitation

Categories
Opposites
explanatory power

r-squarednoise

Unwanted auditory disturbance

randomness · SSE · unpredictability

statistical relationship type

r-squaredcausation

Production of effects

confounding

model performance

r-squaredoverfitting

Excess adaptation to samples

underfitting · independence

Family

square, squared, squares, squaring, squarish

Familiarity
Top 500,000
Profile
Used worldwide · Timeless · Abstract · Rated G