Scatterplot Information and Courses from MediaLab, Inc.
These are the MediaLab courses that cover Scatterplot and links to relevant pages within the course.
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| Figures Specification Place figure captions at the bottom. Number figures with Arabic numerals. Include the same detail of information in a figure caption as in a table caption. Plot the independent variable on the x-axis, and the dependent variable on the y-axis, if you are making a scatterplot. Label the intervals on both axes. You may choose to label only some of them, for example every fourth or every fifth tick mark, but be consistent. Whenever possible, begin each axis at zero, and use the same interval size on both the x- and y-axis. Use a one inch margin along the binding edge, and a one inch margin at the bottom of the caption. Label axes with the appropriate units. Example: Figure 1 Weight vs Age for 10 Caucasian Males in Ojai, California Note that in this case, it is not appropriate to use the same size intervals for the two axes, since the range on the x-axis is about 14 and the range on the y-axis is about 140. | View Page |
| Data and Data Pairs Sometimes you will need to analyze data that are in the form of pairs, with one independent variable and one dependent variable in each pair. For example, the data pairs may be ages and weights of children, or hours studied and test scores of students.The best way to represent these data graphically is with a scatterplot: plotting each independent variable as an x-coordinate, and each dependent variable as a y-coordinate. This allows the reader to quickly see if there is a relationship between the two variables, and how strong the relationship is.You may also analyze data that do not occur as pairs, but as single numbers. Examples include the test scores of many students, or the glucose levels of diabetic patients. These data are presented graphically with a frequency distribution. | View Page |
| Table V Serum BUN values (mg/dL) from hospital employees at Kettering Medical Center 15.922.59.116.8 6.428.615.223.7 10.317.013.820.5 7.425.04.118.4 12.713.630.921.3 What types of charts are appropriate for illustrating this data? | View Page |
| A Regression Analysis Example For example, to find a relationship between glucose concentration and absorbance, we could first plot all the points on a scatterplot. Glucose (mg/dL) Absorbance 50 .10 100 .20 150 .30 200 .40 250 .50 300 .60 | View Page |
| True or false: you should make a scatterplot of your data before you calculate the regression line. | View Page |