(2009) Statistical analysis with Excel for dummies. (2010) Statistical methods for psychology (7 th ed.). Next, fill in the dialog box that appears as shown in Figure 6.įigure 6 – Dialog box for Analysis of Covarianceįigure 7 – Analysis of Covariance data analysis tool Examples WorkbookĬlick here to download the Excel workbook with the examples described on this webpage. In the Add-Ins available box, select the Analysis ToolPak check box, and then click OK. Click Add-Ins, and then in the Manage box, select Excel Add-ins. If not then Click the Microsoft Office Button, and then click Excel Options. To use the tool for the analysis of Example 1, click on cell L1 (where the output will start), press Ctrl-m, and select the Ancova option from the Anova tab (or from the Analysis of Variance dialog box if using the original user interface). Excel 2007: The Data Analysis add-in should appear at right-end of Data menu as Data Analysis. Real Statistics Data Analysis Tool: The Real Statistics Resource Pack provides the ANCOVA data analysis tool. To see how this is done, we show in Figure 5 some representative formulas from Figure 4.įigure 5 – Representative formulas from Figure 4 Data Analysis Tool Quantum XLs XbarR and ANOVA analysis methods are compliant with the AIAG Measurement System Analysis 4th. In addition, a few statistical tests (e.g., standard one-way ANOVA) are. Using the results from Figures 1 and 3, we can now create (in Figure 4) the same two versions of ANCOVA that appear in Figures 3 and 4 of Regression Approach to ANCOVA. Download Excel 2007 Workbook with Instructions. Microsoft Excel (e.g., version 2007, 2013) offers some statistical functions. The next step is to run a one-way ANOVA on the reading scores (input data range B5:E15)and another on the family incomes (input data range G5:J15) using either Excel’s Anova: Single Factor data analysis tool or the Real Statistics Single Factor Anova data analysis tool (see Figure 3).įigure 3 – ANOVA on readings scores and family income The table in Figure 1 presents some representative formulas from Figure 2.įigure 2 – Representative formulas from Figure 1 The results are displayed in Figure 1.įigure 1 – Slopes of regression lines for Example 1 We start by calculating the slopes of the regression lines of the reading scores for each method versus the family income of the children in that sample based on the raw data in Figure 1 of Basic Concepts of ANCOVA. ExamplesĮxample 1: Redo Example 1 of Basic Concepts of ANCOVA using an ANOVA approach to ANCOVA. We now show how to perform ANCOVA based on ANOVA instead of regression.
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