How to Analyze Time Series Data in Excel (With Easy Steps)

 

Step 1 – Input Time Series Data

We are going to use a company’s quarterly revenue in two specific years.

  • Put the year series data in column B. In our case, it has only been two years.
  • Input the quarter of each year. You can use a repeating sequence for that or use AutoFill.
  • Insert the total revenue in every quarter.

Step-by-Step Procedures to Analyze Time Series in Excel

Read More: How to Analyze Raw Data in Excel


Step 2 – Enable the Data Analysis Feature

  • Go to the File tab from the ribbon.

Step-by-Step Procedures to Analyze Time Series in Excel

  • Go to the Options menu.

 

  • The Excel Options dialog box will appear.
  • Go to Add-ins and, under the Add-ins option, select the Analysis Toolpak.
  • Choose the Excel Add-ins from the Manage drop-down menu.
  • Click on the Go button.

  • The Add-ins window will come up.
  • Check Analysis Toolpak.
  • Click on the OK button.
  • We will get the Data Analysis button under the Data tab.

Read More: How to Analyze Large Data Sets in Excel 


Step 3 – Execute the Statistical Analysis

  • Go to the Data tab from the ribbon.
  • Click on the Data Analysis tool under the Analysis group.

Step-by-Step Procedures to Analyze Time Series in Excel

  • The Data Analysis dialog box will pop up.
  • Scroll down and select Exponential Smoothing.
  • Click on the OK button.

  • This will display the Exponential Smoothing dialog box.
  • Select the cell range in the Input Range field. In this case, we selected the range $D$5:$D$12, which is the Revenue column.
  • Specify the Damping factor.
  • Select the range $E$5 in the Output Range field.
  • Check the Chart Output and Standard Errors boxes.
  • Click OK.

Read More: How to Analyze Text Data in Excel 


Final Output to Analyze Time Series Data in Excel

  • The Smoothed Level and Standard Error columns represent the outcomes of the statistical analysis.
  • In the smoothed levels, the column contains the following formula:
=0.7*D6+0.3*E6
  • For the standard errors, the formula is as follows.
=SQRT(SUMXMY2(D6:D8,E6:E8)/3)

Step-by-Step Procedures to Analyze Time Series in Excel

  • We will also get a graphical representation of the Revenue and a forecast.

Read More: How to Analyze Sales Data in Excel


Time Series Forecasting in Excel

Steps:

  • Select the Actual revenue curve line.
  • Right-click and select Add Trendline.

  • The Format Trendline window will show up on the right side of the spreadsheets.
  • Check Polynomial from the Trendline Options.
  • Check the Display Equation on chart and Display R-squared value on chart boxes.

Step-by-Step Procedures to Analyze Time Series in Excel

  • In the forecast models, the polynomial trend line has a lower error rate.
  • The required trend line will be returned in the graph.

  • Choose Linear if you like to have a linear trend line.
  • In our case we put the Forward period under the Forecast option.

  • This will display a linear trend line next to the actual data on the graph.

Suppose we want to forecast exponential dependence. GROWTH delivers the y-values for a set of new x-values. We can also use this function to fit an exponential curve to already-existing x- and y-values.

  • Insert a new column named Forecast.
  • Select the cell where you want the result of the forecast value using the GROWTH function.
  • Put this formula into that selected cell.
=GROWTH($D$5:$D$12,$C$5:$C$12,C5,TRUE)
  • Hit the Enter key.

Step-by-Step Procedures to Analyze Time Series in Excel

  • Drag the Fill Handle down to duplicate the formula over the range or double-click on the plus (+) symbol.

Step-by-Step Procedures to Analyze Time Series in Excel

  • You can see the prediction for the revenue.

Read More: How to Analyze Likert Scale Data in Excel 


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Sabrina Ayon
Sabrina Ayon

Sabrina Ayon, a Computer Science and Engineering graduate from United International University, has been an integral part of the ExcelDemy project for two years. She authored 150+ articles, excelling in instructing through visually engaging Excel tutorials. With a passion for teaching, Sabrina conducted sessions on Excel VBA, sharing her knowledge and insights with others. Currently holding the position of Project Manager for the ExcelDemy Visual Development Project, she oversees various aspects of the project, ensuring its smooth operation... Read Full Bio

2 Comments
  1. data chahiye

    • Hello Samia,

      In the Download Practice Workbook section, you will get the dataset used in the article.

      Regards
      ExcelDemy

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