Plotting bivariate data

The scatter plot is a fundamental tool for looking at bivariate data. It shows the important characteristics of the data and can be used to decide what model may describe the relationship between the variables.

  1. Open the file TV Ad Yield.xlsx.
  2. Click a cell in the dataset.
  3. On the Analyse-it ribbon tab, in the Dataset group, click Dataset.

    The dataset task pane is displayed.

  4. Select Labels in first column.
  5. Click Apply.

    The dataset task pane is closed.

  6. On the Analyse-it ribbon tab, in the Statistical Analyses group, click Fit Model drop-down list, and then click Scatter.
    The analysis task pane opens.A scatter plot is added to the analysis task pane.
  7. In the Y variable list, select Retained impressions per week.
  8. In the X variable list, select Budget.
  9. Click Calculate.
    The results are calculated and the analysis report opens.

The scatter plot suggests the relationship between advertising yield and spend is not a straight line. It appears the yield increases sharply at lower spend and levels out as spending increases.

(click to enlarge)