![]() ![]() Name the chart a correlation chart (Height Vs. In the Charts group, click on the Insert Scatter (X, Y) or Bubble Chart optionsĥ. ![]() Click on the Insert tab of the main menu ribbon.Ĥ. Select all the original data tables in an open workbook.ģ. In this example, height is the independent variable, and weight is the dependent variable.Ģ. Which should be on the left and right side, respectively. The independent variable is represented as the (X variable), and the dependent variable is represented as the (Y variable). The first step is creating the correlation data set. You may be interested in measuring the relationship between the height and weight of a group of people. This graph shows that there is no relationship between the two variables. The following graphs can show these relationships. For a negative relationship, it shows if variable X increases, variable Y will also decrease and vice versa. The value plotted on the Y axis is also referred to as a measured or dependent variable.ĭirection and interpretation of correlation graphĪ positive relationship shows that when variable X increases, variable Y increases, and vice versa. ![]() This is because the dependent variable changes only if the independent value changes. In most cases, the value plotted on the X-axis is independent. A correlation graph is a comparison of two variables which are plotted on the X and Y variables. In simple terms, a correlation graph is a scatter plot that relies on coordinates in a 2D space to show values.
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