![]() When the data points don’t form a line or when they form a line that is not straight, like in Chart 5.6.2, Part B, the relationships between variables is not linear. When the data points form a straight line on the graph, the relationship between the variables is linear, as shown in Chart 5.6.2, Part A. the concentration or spread of data points,.On a scatter plot, if one variable increases or decreases as the other increases or decreases, it shows a positive association. Positive and Negative Association on a Scatter Plot. For scatter plots that suggest a linear association. The associations that best describe the scatter plot are: B. The independent variable or attribute is plotted on the X-axis, while the dependent variable is plotted on the Y-axis. It represents data points on a two-dimensional plane or on a Cartesian system. You can assess the strength of the association by looking at the distances of plotted points from the trend line. Know that straight lines are widely used to model relationships between two quantitative variables. Scatter plots are the graphs that present the relationship between two variables in a data-set. For scatter plots that suggest a linear association, you can draw a trend line to show the association. (Make sure the other plots are OFF.) For TYPE: highlight the very first icon, which is the scatter plot, and press ENTER. On the input screen for PLOT 1, highlight On and press ENTER. ![]()
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