Excel is a great option for running multiple regressions when a user doesn't have access to advanced statistical software.  The process is fast and easy to learn.

Steps

  1. 1
    Open Microsoft Excel.
  2. 2
    Check to see if the "Data Analysis" ToolPak is active by clicking on the "Data" tab. If you don't see the option, you will need to enable the add-in, as follows:
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  3. 3
    Enter your data, or open your data file.  Data must be arranged in immediately adjacent columns and labels should be in the first row of each column.
  4. 4
    Select the "Data" tab, then click "Data Analysis" in the "Analysis" grouping (most likely at or near the far right of Data tab options).
  5. 5
    Input the dependent (Y) data by first placing the cursor in the "Input Y-Range" field, then highlighting the column of data in the workbook.
  6. 6
    The independent variables are entered by first placing the cursor in the "Input X-Range" field, then highlighting multiple columns in the workbook (e.g. $C$1:$E$53).
    • NOTE:  The independent variable data columns MUST be adjacent one another for the input to occur properly.
    • If you are using labels (which should, again, be in the first row of each column), click the box next to "Labels".
    • The default confidence level is 95%.  If you wish to change this value, click the box next to "Confidence Level" and modify the adjacent value.
    • Under "Output Options", add a name in the "New Worksheet Ply" field.
  7. 7
    Select the desired options in the "Residuals" category.  Graphical residual outputs are created by with the "Residual Plots" and "Line Fit Plots" options.
  8. 8
    Click "OK" and the analysis will be created.
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Expert Q&A

  • Question
    what is output range
    Kyle Smith
    Kyle Smith
    wikiHow Technology Writer
    Kyle Smith is a wikiHow Technology Writer, learning and sharing information about the latest technology. He has presented his research at multiple engineering conferences and is the writer and editor of hundreds of online electronics repair guides. Kyle received a BS in Industrial Engineering from Cal Poly, San Luis Obispo.
    Kyle Smith
    wikiHow Technology Writer
    Expert Answer
    The output range in the regression window is where the results of the analysis will appear. This can be in an existing sheet, a new sheet, or an entirely new workbook file.
  • Question
    getting #NUM error p- values. What does it mean?
    Kyle Smith
    Kyle Smith
    wikiHow Technology Writer
    Kyle Smith is a wikiHow Technology Writer, learning and sharing information about the latest technology. He has presented his research at multiple engineering conferences and is the writer and editor of hundreds of online electronics repair guides. Kyle received a BS in Industrial Engineering from Cal Poly, San Luis Obispo.
    Kyle Smith
    wikiHow Technology Writer
    Expert Answer
    This could indicate that you don't have enough observations to compute the significance of the model or its parameters. Try adding additional observations if this is the case.
  • Question
    What is the formula of multiple regression used by Excel in the background?
    Kyle Smith
    Kyle Smith
    wikiHow Technology Writer
    Kyle Smith is a wikiHow Technology Writer, learning and sharing information about the latest technology. He has presented his research at multiple engineering conferences and is the writer and editor of hundreds of online electronics repair guides. Kyle received a BS in Industrial Engineering from Cal Poly, San Luis Obispo.
    Kyle Smith
    wikiHow Technology Writer
    Expert Answer
    Excel is using the linear regression formula y = m1x1 + m2x2 + ... + b. It calculates the values using the least squares method.
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About This Article

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wikiHow Technology Team
wikiHow is a “wiki,” similar to Wikipedia, which means that many of our articles are co-written by multiple authors. To create this article, 10 people, some anonymous, worked to edit and improve it over time. This article has been viewed 805,328 times.
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Co-authors: 10
Updated: March 27, 2023
Views: 805,328
Categories: Microsoft Excel
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