You can easily run multiple regression analyzes using Excel when you don't have up-to-date statistical software. The analysis process is quick and easy to learn.
Step
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Step 1. Open Microsoft Excel
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Step 2. Check if the “Data Analysis” ToolPak is active by clicking on the “Data” label
If you don't see this option, perform the following steps to enable the add-in:
- Open the "File" menu (or press Alt+F) and select "Options"
- Click "Add-Ins" on the left side of the window.
- Click "Go" next to the "Manage: Add-ins" option at the bottom of the window.
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Image Check the box next to " Analysis ToolPak " in the new window, then click "OK".
Image -
Image Image Now, your add-in is active.
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Step 3. Enter the data, or open the data file
The data must be arranged in columns that are next to each other and the labels/titles are in the first row in each column.
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Step 4. Select the "Data" label, then click " Data Analysis " in the " Analysis " group (it may be at or near the far right of the Data options label)
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Step 5. Enter the dependent variable (Y) data by placing the cursor in the " Input Y-Range " box, then highlighting the corresponding data column in the workbook
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Step 6. Enter the independent variable data by placing the cursor in the " Input X-Range " box, then highlight some related data fields in the workbook (eg $C$1:
$E$53).
- Note: independent variable data fields MUST be next to each other for input to be analyzed properly.
- If you're using labels or headings (again, headings are in the first row of each column), click the box next to " Labels ".
- The initial confidence level (default confidence level) is 95%. If you want to change it, click the box next to " Confidence Level " and change the value.
- Under "Output Options", enter a name in the "New Worksheet Ply" box.
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Step 7. Select the desired option in the " Residuals " category
Graphical residual output is created with the " Residual Plots " and " Line Fit Plots " options.