Select the «Analysis ToolPak» and click OK.Īfter activating the superstructure will be available on the «DATA» tab. Below the drop-down list in the «Manage:» field is the inscription «Excel Add-Ins» (if it is not, click on the checkbox to the right and select).Push the button «FILE»-«Options»-«Add-Ins».But faster it will make the add-on «analysis package». In Excel, there are built-in features with which you can calculate the parameters of the linear regression model.
In our example as Y serves the indicator of employees who retired. Where a – are the regression coefficients, x – the influencing variables, k – the number of factors. The linear regression model is as follows: It is necessary to determine the dependence of the number of employees who retired from the average salary. On 6 enterprises was analyzed the average monthly salary and the number of employees who retired. And based on the main factors you may to predict, to plan the development of priorities areas, to make to the management decisions.Ĭonsider the example to the construction of a regression model in Excel and the interpretation of the results. The analysis result allows you to prioritize.
CORRELATION FORMULA IN EXCEL HOW TO
Or: how to influence foreign investment, energy prices, etc. For example, it depends on the number of economically active population from the number of enterprises, the value of wages and other parameters. It shows the influence of some values (independent, substantive ones) on the dependent variable. And give an example of the receiving the results when they are combined.
Lover on the specific practical examples, we consider these two are very popular analysis among economists. There are the most common ways to show the dependence of some parameter from one or more independent variables. Regression and correlation analysis – there are statistical methods. Regression and correlation analysis in Excel: instruction execution
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