NYU BIOSTATISTICS FINAL FINAL TEST
2026 QUESTIONS WITH CORRECT
ANSWERS GRADED A+
>> Simple Linear Regression
Answer: One predictor variable
>> Multiple Regression
Answer: Multiple predictors
>> Least Squares
Answer: Minimize squared errors
>> Slope
Answer: Change in Y per unit X
>> Intercept
Answer: Y value when X equals zero
>> R-squared
Answer: Proportion variance explained
>> Adjusted R-squared
Answer: Adjusted for predictors
>> Residual
Answer: Observed minus predicted
, >> Homoscedasticity
Answer: Equal variance of residuals
>> Heteroscedasticity
Answer: Unequal variance of residuals
>> Multicollinearity
Answer: Predictors highly correlated
>> Confounding Variable
Answer: Third variable affecting relationship
>> Interaction Effect
Answer: Effect depends on another variable
>> Logistic Regression
Answer: Binary outcome prediction
>> Odds Ratio
Answer: Ratio of odds between groups
>> Relative Risk
Answer: Ratio of probabilities
>> Hazard Ratio
Answer: Instantaneous event rate ratio
>> Survival Analysis
Answer: Time-to-event analysis
2026 QUESTIONS WITH CORRECT
ANSWERS GRADED A+
>> Simple Linear Regression
Answer: One predictor variable
>> Multiple Regression
Answer: Multiple predictors
>> Least Squares
Answer: Minimize squared errors
>> Slope
Answer: Change in Y per unit X
>> Intercept
Answer: Y value when X equals zero
>> R-squared
Answer: Proportion variance explained
>> Adjusted R-squared
Answer: Adjusted for predictors
>> Residual
Answer: Observed minus predicted
, >> Homoscedasticity
Answer: Equal variance of residuals
>> Heteroscedasticity
Answer: Unequal variance of residuals
>> Multicollinearity
Answer: Predictors highly correlated
>> Confounding Variable
Answer: Third variable affecting relationship
>> Interaction Effect
Answer: Effect depends on another variable
>> Logistic Regression
Answer: Binary outcome prediction
>> Odds Ratio
Answer: Ratio of odds between groups
>> Relative Risk
Answer: Ratio of probabilities
>> Hazard Ratio
Answer: Instantaneous event rate ratio
>> Survival Analysis
Answer: Time-to-event analysis