Power Analysis For Linear Regression - Solve mathematical problems with step-by-step solutions.
Calculate Sample Size (N) or Power (1-β)
Power depends on effect size (e.g., partial R²), α, number of predictors, and sample size.
With f²=0.15, α=0.05, k=3 predictors, n=120, power is typically > 0.8.
Effect size types?
f² relates to incremental R² of predictors.
Multicollinearity?
High collinearity reduces effective power.
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