Control charts - X-bar, R-chart, S-chart, IMR-chart, P-chart, C-chart, U-chart, CUSUM-chart.Quantile-quantile Q-Q plots for different distributions.Bland-Altman plot with multiple measurements per subject.Sampling (random, periodic, conditional).Report includes: AUC (with confidence intervals), curve coordinates, performance indicators - sensitivity and specificity (with confidence intervals), accuracy, positive and negative predictive values, Youden's J (Youden's index), Precision-Recall plot. Receiver operating characteristic curves analysis (ROC analysis).ĪUC methods - DeLong's, Hanley and McNeil's.LD values (LD50/ED50 and others), cumulative coefficient calculation.
Kaplan-Meier (log rank test, hazard ratios).Unit root tests - Dickey–Fuller, Augmented Dickey–Fuller (ADF test), Phillips–Perron (PP test), Kwiatkowski–Phillips–Schmidt–Shin (KPSS test).Tests for heteroscedasticity: Breusch–Pagan test (BPG), Harvey test, Glejser test, Engle's ARCH test (Lagrange multiplier) and White test.Stepwise (forward and backward) regression.Weighted least squares (WLS) regression.Multivariate linear regression (residuals analysis, collinearity diagnostics, confidence and prediction bands).Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's W (coefficient of concordance). Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion. Rank correlations (Kendall Tau, Spearman R, Gamma, Fechner).2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.). Multiple Linear Regression Weighted Least Squares Polynomial Regression Forward Selection Backward Stepwise Best Subsets Regression Binary Logistic Cox Regression N Nonparametric Statistics.Within subjects ANOVA and mixed models.For example, if we add a single predictor X 2, we get E(YjX 1 x 1 X 2 x 2) 0 + 1x 1 + 2x 2 (3) James H. Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls, Dunnett. Statistics 621 Multiple Regression Practice Questions Robert Stine 5 (7) The plot of the model’s residuals on fitted values suggests that the variation of the residuals in increasing with the predicted price. The Multiple Regression Model The simple linear regression model states that E(YjX x) 0 + 1x (1) Var(YjX x) 2 (2) In the multiple regression model, we simply add one or more predictors to the system.
One-way and two-way ANOVA (with and without replications).Multiple definitions for computing quantile statistics.Frequency tables analysis (for discrete and continuous variables).Normality tests (Jarque-Bera, Shapiro-Wilk, Shapiro-Francia, Cramer-von Mises, Anderson-Darling, Kolmogorov-Smirnov, D'Agostino's tests).Migration guide for users switching from Analysis ToolPak. Options to emulate Excel Analysis ToolPak results and.
STATPLUS MULTIPLE REGRESSION LICENSE
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