Now we have a visual demonstration of which kinds of goods ensured the main part of the sales growth. Use this tool to change the colors for «Decrease» and «Growth». Remove the cumulative total through «Format Data Series» - «FILL» («No fill»).
Let's adjust the legend and the colors. Select the range of data for building the chart. K3/$I$11 stands for the ratio between the «Decrease» and the result of the 2nd month. Here, J3/$I$11 stands for the ratio between the «Growth» and the result of the 2nd month. Let's calculate the growth percentage for each item. 
The second column will contain the sum of the previous value and the previous growth, deducting the current decline. For «Decrease», the formula is: =IF(J3=0,B2-C2,0), where J3 is the link to the left cell («Growth»). For «Growth», the Excel formula is: =IF((C2-B2)>0,C2-B2,0), where С2-В2 is the difference between the 2nd and 1st months. If the sales of a certain kind of goods grew, the positive delta goes to the «Growth» column.
Let's find out which items ensured the main part of the growth in the second month. We need to analyze which items are in demand and which are non-demanded. Let's assume we know the data regarding the sales of certain goods during the past 4 months. Let's review an example of conducting a factor analysis. to reduce the number of the necessary variables. to classify the variables (determining the inter-connections between them). to reveal the hidden variable values that determine the presence of linear statistical correlations. to describe the object under observation in a comprehensive yet concise manner. This method allows to resolve some very important tasks: Consequently, the behavior in a conflict situation does not depend on the subject's education level.įactor analysis is a multi-variance analysis of the inter-connections between the values of the variables. As the P value between the groups exceeds 1, Fisher's variance ratio cannot be considered of importance. The parameter of importance is filled-in with yellow. The analysis results are output on a separate spreadsheet (in our example). The size of the range will be determined automatically. If you need to indicate the output range within the existing spreadsheet, switch it to the « Output Range:» and enter the link to the top left cell of the range for the output data. Select «New Worksheet Ply:» in the «Output options:». In the «Input Range» field, enter the link to the range of cells contained in all the table columns $B$2:$G$16. Select «Anova: Single Factor» in the list and click OK. Open the dialog window of the analytic tool. It is assumed that the behavior is influenced by the subject's education level (1 stands for secondary, 2 for vocational, 3 for higher). 
Using a dedicated method, the company's psychologist has analyzed the behavior strategies of employees in a conflict situation. Let's review an example of variance analysis in Excel.
The columns should be organized in ascending/descending order of the value of the parameter under consideration. Each column should contain a value of one of the factors under consideration. The work starts with executing the table. If the plugin is unavailable, go to «Excel Options» and enable the analysis tool. It's a customization plugin of the spreadsheet processor. 
Microsoft Excel allows for performing the variance analysis with the help of the tool «Data Analysis» (the tab «DATA» - «Analysis»). the random variance dictated by all the unconsidered circumstances.the variance dictated by the interconnection between the values under consideration.the variance determined by the influence of each of the values under consideration.In conventional terms, the objective of the variance method is as follows: to single out three particular variances from the general variance of a parameter:
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