Medical Regression Numericals

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Medical data regression quiz

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Prachi Mukh

India

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Medical Regression Numericals


Medical Regression NumericalsVersión en línea Medical data regression quiz por Prachi Mukh 1 What is RMSE formula in regression applied to medical data? a RMSE = sqrt(sum of errors) b RMSE = sqrt(mean squared error) c RMSE = average absolute error d RMSE = sum squared error 2 What does R-squared indicate in a medical dataset regression? a Change in dependent variable per unit predictor b Model’s p-value significance c Proportion of variance explained by the model d Correlation strength with a single predictor 3 Which penalty corresponds to L2 regularization in regression? a Ridge (L2) penalty b Elastic Net with zero alpha c No penalty d Lasso (L1) penalty 4 How does multicollinearity affect regression coefficients in medical data? a Inflates variance and makes estimates unstable b Always decreases model error c Improves predictor significance d Reduces model bias to zero 5 Which sign indicates overfitting when training accuracy is high but test accuracy is low? a Large gap between train and test error b Low training error only c Identical train and test errors d High test accuracy only 6 Which model is commonly used for binary medical outcomes? a Poisson regression b Cox proportional hazards c Logistic regression d Linear regression 7 What is the purpose of k-fold cross-validation in medical data modeling? a Always maximize RMSE b Increase training data size c Estimate generalization by averaging over folds d Reduce model complexity to zero 8 Given actuals [100, 120] and predictions [110, 115], RMSE ≈? a ≈ 20.00 b ≈ 15.00 c ≈ 2.50 d ≈ 7.91 9 Why is data scaling important in regression on medical data? a Always improves R-squared b Helps convergence and fair penalty application c Makes all features identical d Increases dataset size 10 Which metric is unitless and expresses variance explained in regression? a Adjusted RMSE b MAE c R-squared (R2) d RMSE

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Medical Regression Numericals

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Medical Regression NumericalsVersión en línea

por Prachi Mukh

What is RMSE formula in regression applied to medical data?

What does R-squared indicate in a medical dataset regression?

Which penalty corresponds to L2 regularization in regression?

How does multicollinearity affect regression coefficients in medical data?

Which sign indicates overfitting when training accuracy is high but test accuracy is low?

Which model is commonly used for binary medical outcomes?

What is the purpose of k-fold cross-validation in medical data modeling?

Given actuals [100, 120] and predictions [110, 115], RMSE ≈?

Why is data scaling important in regression on medical data?

Which metric is unitless and expresses variance explained in regression?