Practice Scatter Plot in Math
Use these practice problems to test your method after reviewing the concept explanation and worked examples.
Quick Recap
A scatter plot is a graph with one quantitative variable on each axis where each data point is plotted as a dot, revealing relationships between the two variables.
Each dot is one observation โ as you scan left to right, the up/down pattern of dots reveals whether the variables tend to increase or decrease together.
Showing a random 20 of 50 problems.
Example 1
mediumDoes a strong association in a scatter plot imply causation?
Example 2
mediumA scatter plot's points fit . Predict y when .
Example 3
easyWhich type of plot best shows the relationship between two numerical variables?
Example 4
hardA scatter plot trend line goes through and . Find the slope.
Example 5
easyA scatter plot shows that as temperature increases, ice cream sales also increase. What type of association is this, and what does a scatter plot help us determine that a table of numbers cannot?
Example 6
mediumData: . Describe the association and its slope.
Example 7
hardYou have a scatter plot showing a clear curved (parabolic) pattern. Why is a linear correlation coefficient misleading?
Example 8
hardWhat can a scatter plot reveal that a correlation coefficient alone cannot?
Example 9
mediumA scatter plot of points shows what direction?
Example 10
challengeAdding the point to a cluster near the origin sharply tilts the trend line. What is this point's role?
Example 11
easyWhat are the three features we typically describe in a scatter plot?
Example 12
hardA trend line models test scores from study hours. Interpret the slope in context.
Example 13
easyOn a scatter plot, the points form a tight cluster around a straight line. Describe the strength of the association.
Example 14
mediumPoints . Find the slope of the line through them.
Example 15
mediumA scatter plot shows the linear pattern approximately. Predict when .
Example 16
mediumTwo scatter plots have slopes and but identical tight clustering. Compare correlation strength.
Example 17
challengeA scatter plot shows ice-cream sales rising with temperature. Why is concluding 'heat causes more sales' more justified than 'cars cause accidents' from correlated counts?
Example 18
easyA scatter plot shows hours studied (x) vs test score (y). As hours rise, scores rise. What is the association?
Example 19
challengeA scatter plot shows points: . Compute the mean point .
Example 20
mediumA scatter plot of dose vs. effectiveness rises sharply, then levels off. Is the relationship linear or non-linear?