regression analysis
multiple regressions
regression effect
regression to mean
detecting regressions
regression model
regression line
regression test
regression bias
regression results
we used multiple regressions to analyze the data.
the model showed significant regressions towards the mean.
time series regressions helped predict future sales.
linear regressions are a common statistical technique.
the study investigated regressions in test scores.
we performed regressions controlling for confounding variables.
logistic regressions predicted customer churn effectively.
the researchers conducted regressions on a large dataset.
stepwise regressions were used to identify key predictors.
we observed regressions in employee performance over time.
panel regressions allowed us to control for individual effects.
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