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Math 2345 EXAM # 3 Formula Sheet χ2 Test: eq11.9: The test stat: χ2 = P P i j (fij −eij )2 , eij where eij = (Row i T otal)(Column j T otal) T otal sample size Simple Linear Regression: eq12.3: Estimated Simple PRegression Equation: ŷ = b0 + b1 x (xi − x)(yi − y) P eq12.6: The Slope b1 = (xi − x)2 eq12.7: The Y-intercept: b0 = y − b1 x P eq12.8: Sum of squares Due to Error: P SSE = (yi − ŷi )2 eq12.9: Total sum of squares: SST = (yi − ȳ)2 P eq12.10: Sum of Squares Due to Regression: SSR = (ŷi − ȳ)2 eq12.11: Relationship Among SST,SSR,and SSE: SST = SSR + SSE eq12.12: Coefficient of determination: r2 = SSR SST eq 12.15: Mean Square Error: s2 = M SE = SSE n−2 q eq12.16: Standard error of the estimate: s = SSE n−2 s eq12.18: Estimated Standard Deviation of b1 : sb1 = pP (xi − x)2 b1 eq12.19: t Test Statistic tcal = with (n − 2) degrees of freedom Sb1 SSR eq12.20: Mean Square Regression: M SR = #indvar M SR eq12.21: F Test Statistic: F = M SE s eq12.24: 100(1 − α)% CI for E(y ∗ ): ŷ ∗ ± tα/2 sŷ∗ where (eq12.23:) sŷ∗ = s 1 (x∗ − x̄)2 +P n (xi − x̄)2 Multiple Linear Regression: eq13.3: Estimated multiple regression equation: ŷ = b0 + b1 X1 + b2 X2 + ... + bp Xp SSR SST n−1 eq13.9: Adjusted Multiple Coefficient of Determination: Ra2 = 1 − (1 − R2 ) n−p−1 bi eq13.15: t test Statistic: tcal = with (n-p-1) degrees of freedom. sbi eq13.8: Multiple Coefficient of Determination: R2 = Control Charts: Xbar :and R Chart σ eq15.1: Standard Error of the Mean: σx̄ = √ n x̄ Chart for standard deviation known: eq15.2: U CL = µ + 3σx̄ eq 15.3: LCL = µ − 3σx̄ x̄1 + x̄2 + · · · + x̄k eq15.4: Overall Sample Mean: x̄ = k R1 + R2 + · · · + Rk eq15.5: Average Range: R = k eq15.8: Control limits For an x̄ Chart for standard deviation unknown: x̄ ± A2 R̄ Control limits for an R chart: eq15.14: U CL = RD4 eq15.15: LCL = RD3 Control Chart: p Chart r eq15.16: Standard Error of the Proportion: σp̄ = Control Limits for a p Chart: eq15.17: U CL = p + 3σp̄ eq15.18: LCL = p − 3σp̄ p(1 − p) n