Regression Analysis Excel Mac Download

1. Excel Formula For Regression Analysis
2. Regression Analysis In Microsoft Excel
3. Understanding Regression Analysis In Excel

Jan 30, 2017.

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Analysis Toolpak for Mac

This handy add-on replaces Microsoft Analysis Toolpak in Excel 2008-2019 for Mac. It features a detailed migration guide for users switching from Analysis Toolpak to StatPlus:mac and has the Excel interface you already know! StatPlus:mac LE is fully compatible with Excel 2004—2019 and is the Microsoft recommended replacement of its own Analysis Toolpak module.

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StatPlus:mac Pro allows Microsoft Excel for Mac users to perform all forms of data analysis from the very basics to complex analysis, including as non-parametric and regression analysis, survival analysis, and a wide variety of other methods. Pro users are entitled to receive unlimited priority support during one year (and even on weekends). Free outlook for mac.

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Excel Formula For Regression Analysis

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StatPlus:mac LE is free of charge with no hidden catch - there are no ads, time limits or variable/cases count limits. Should you have any questions, please feel free to contact our Support Team.

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Standard Solution

Regression Analysis In Microsoft Excel

Universities, scientific centers, public agencies and research institutes worldwide have already chosen StatPlus:mac as a standard statistical tool and are now reaping the benefits of it versatility, reliability, speed and compatibility with the popular Microsoft Office environment.

Requirements

StatPlus:mac requires macOS 10.9-10.15 (v6 requires 10.7+). macOS Catalina is supported. StatPlus:mac supports Microsoft Excel for Mac (supported versions: 2004, 2008, 2011, 2016, 2019; Office 365 for Mac v16) and Apple Numbers v3/4/5 as a data source. StatPlus:mac does not require Internet connection (except for optional auto-update feature).

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Free or Premium? Features Comparison — StatPlus:mac Pro vs. LE

• Only in StatPlus:mac Pro.
• Available in free LE version.

• Pro Features
  • Standalone spreadsheet with Excel (XLS and XLSX), OpenOffice/LibreOffce Calc (ODS) and text documents support.
  • 'Add-in' mode for Excel 2004, 2008, 2011, 2016 and 2019.
  • 'Add-in' mode for Apple Numbers v3, v4 and v5.
  • Priority support.
  • Permanent license and free major upgrades during the maintenance period.
  • Access to Windows version.
  • Options to emulate Excel Analysis ToolPak results and migration guide for users switching from Analysis ToolPak.
• Basic Statistics
  • Detailed descriptive statistics.
  • One-sample t-test.
  • Two-sample t-test.
  • Two-sample t-test for summarized data.
  • Fisher F-test.
  • One-sample and two-sample z-tests.
  • Correlation analysis and covariance.
  • Normality tests (Jarque-Bera, Shapiro-Wilk, Shapiro-Francia, Cramer-von Mises, Anderson-Darling, Kolmogorov-Smirnov, D'Agostino's tests).
  • Cross-tabulation and Chi-square.
  • Frequency tables analysis (for discrete and continuous variables).
  • Multiple definitions for computing quantile statistics.
• Analysis of Variance (ANOVA)
  • One-way and two-way ANOVA (with and without replications).
  • Three-way analysis of variance.
  • Post-hoc comparisons - Bonferroni, Tukey-Kramer, Tukey B, Tukey HSD, Neuman-Keuls, Dunnett.
  • General Linear Models (GLM) ANOVA.
  • Within subjects ANOVA and mixed models.
• Multivariate Analysis
  • Principal component analysis (PCA).
  • Factor analysis (FA).
  • Discriminant function analysis.
• Nonparametric Statistics
  • 2x2 tables analysis (Chi-square, Yates Chi-square, Exact Fisher Test, etc.).
  • Rank and percentile.
  • Chi-square test.
  • Rank correlations (Kendall Tau, Spearman R, Gamma, Fechner).
  • Comparing independent samples
    Mann-Whitney U Test, Kolmogorov-Smirnov test, Wald-Wolfowitz Runs Test, Rosenbaum Criterion. Kruskal-Wallis ANOVA and Median test.
  • Comparing dependent samples
    Wilcoxon Matched Pairs Test, Sign Test, Friedman ANOVA, Kendall's W (coefficient of concordance).
  • Cochran's Q Test.

Understanding Regression Analysis In Excel

• Regression Analysis
  • Multivariate linear regression (residuals analysis, collinearity diagnostics, confidence and prediction bands).
  • Weighted least squares (WLS) regression.
  • Logistic regression.
  • Stepwise (forward and backward) regression.
  • Polynomial regression.
  • Curve fitting.
  • Tests for heteroscedasticity: Breusch–Pagan test (BPG), Harvey test, Glejser test, Engle's ARCH test (Lagrange multiplier) and White test.
• Time Series Analysis
  • Data processing.
  • Fourier analysis.
  • Smoothing.
  • Moving average.
  • Analysis.
  • Autocorrelation (ACF and PACF).
  • Interrupted time series analysis.
  • Unit root tests - Dickey–Fuller, Augmented Dickey–Fuller (ADF test), Phillips–Perron (PP test), Kwiatkowski–Phillips–Schmidt–Shin (KPSS test).
• Survival Analysis
  • Life tables.
  • Kaplan-Meier (log rank test, hazard ratios).
  • Cox proportional-hazards regression.
  • Probit-analysis (Finney and LPM).
    LD values (LD50/ED50 and others), cumulative coefficient calculation.
  • Receiver operating characteristic curves analysis (ROC analysis).
    AUC methods - DeLong's, Hanley and McNeil's. 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.
  • Comparing ROC curves.
• Data Processing
  • Sampling (random, periodic, conditional).
  • Random numbers generation.
  • Standardization.
  • Stack/unstack operations.
  • Matrix operations.
• Statistical Charts
  • Histogram
  • Scatterplot.
  • Box plot.
  • Stem-and-leaf plot.
  • Bland-Altman plot.
  • Bland-Altman plot with multiple measurements per subject.
  • Quantile-quantile Q-Q plots for different distributions.
  • Control charts - X-bar, R-chart, S-chart, IMR-chart, P-chart, C-chart, U-chart, CUSUM-chart.

Tutorials

Find out how to use StatPlus:mac. Tutorials for current version v6 coming soon.