![]() ![]() The electricity consumption is measured in KWH which is continuous data while the population is not truly continuous but can be approximated as continuous since there are a lot of possible values. For example, let’s say we want to determine if there is a relationship between the electricity consumption in a city and its population. In order to plot a scatter plot, we need to collect the data in pairs. If a more objective way of establishing a relationship is required then we can use some statistical tool like Regression analysis. A scatter plot is a visual way of looking for relationship and thus may be subjective. However, a scatter plot can also be drawn if the variables are not truly continuous – for example the variable may be discrete ordinal data but more than 2 categories. This plot is usually used between two continuous variables. We’ve included practice datasets for each method in the Excel file.A scatter plot is used to visually determine if there is any relationship between two variables (say X and Y). Read More: How to Make a Correlation Table in Excel ![]() In conclusion, we’ve shown you yet another method of achieving our goal. We’ll notice a Correlation Scatter plot in a new Sheet. Finally, select our Sub Procedure and press Run.Firstly, from the Developer tab > select Macros.Finally, using the DisplayEquation property we’re showing the Equation in our Chart.After that, we’re setting our plot type as Scatter.Then, we’re hiding the Legend with HasLegend property.You need to change this line for your data. Thirdly, setting the X-Axis and Y-Axis.Secondly, declaring our variable types.Firstly, we’re calling our Sub Procedure CorrelationScatterPlotVBA.Axes(xlValue, xlPrimary). = "Sales"ĪctiveChart.FullSeriesCollection(1).Trendlines(1).Select Axes(xlValue, xlPrimary).HasTitle = True Axes(xlCategory, xlPrimary). = "Advertising" Axes(xlCategory, xlPrimary).HasTitle = True SeriesCollection(1).Name = "=""Scatter Correlation Plot Using VBA""" Here in this Module window, we’ll write our code. Secondly, from Insert > select Module.This will bring up the Visual Basic window. Firstly, from the Developer tab > select Visual Basic.Without further ado, let’s jump into the procedures. In our code, we just need to change the range of X-Axis and Y-Axis. In the last method, we’re going to use Excel VBA to make a Correlation Scatter plot. Incorporating VBA to Make a Correlation Scatter Plot in Excel Read More: How to Make Correlation Graph in ExcelĢ. This is what the final step should look like. Thus, we’ve made a Correlation Scatter plot in Excel and formatted it. Moreover, we can hold SHIFT to keep the aspect ratio intact. Then, drag it to resize the Scatter plot.Firstly, select the plot and move the cursor to the edge.Finally, put a tick mark on Data Labels to show this.Secondly, from the Chart Elements > untick Gridlines to hide it.Firstly, select the Correlation Scatter plot.However, we’ll do a little more formatting on this.Īfter that, we’ll turn off the Gridlines and show Data Labels. Similarly, we can do the same for the X-Axis. We’ve changed the initial value for the Y-Axis. Finally, set the Minimum Bounds to 230 from 0.This will bring up the Format Axis option. Firstly, Double Click on the Y-Axis values.Then, we’ll change the starting value of both Y and X-Axis. We can simply move the Equations for better visibility. This will show the Correlation Equation and Trendline on the Scatter plot. Thirdly, select Linear from Trendline Options.Secondly, from the Chart Elements > Trendline > select “ More Options…”.Thirdly, we’ll add a Trendline in our Scatter plot. ![]()
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