Which of the following types of information is NOT suited for display on a scatter plot?
1. relationship between age and number of books read in a year***
2. relationship between height and shoe size
3. relationship between calories consumed and body weight
4. relationship between height and hair color
I disagree.
http://www.mathsisfun.com/data/scatter-xy-plots.html
ohhhh wow, thank you Ms. Sue for correcting me!
What is your answer now?
It's D!
To determine which type of information is not suited for display on a scatter plot, let's review what a scatter plot is and what it represents.
A scatter plot is a graphical representation of the relationship between two variables. It uses individual data points to show the relationship between the variables on a two-dimensional coordinate system. The x-axis represents one variable, while the y-axis represents the other variable. Each data point is plotted according to its corresponding values on the x and y axes.
The purpose of a scatter plot is to visualize and identify patterns, trends, or correlations between two variables. It is particularly useful when analyzing numerical data.
Now, let's consider the options:
1. Relationship between age and number of books read in a year: This is a suitable type of information for a scatter plot since age and the number of books read in a year are both numerical variables. By plotting each person's age on the x-axis and the number of books read on the y-axis, we can analyze any correlation between the variables.
2. Relationship between height and shoe size: This is also a suitable type of information for a scatter plot. Both height and shoe size are numerical variables, and by plotting each person's height on the x-axis and their shoe size on the y-axis, we can examine any relationship that may exist.
3. Relationship between calories consumed and body weight: This is yet another suitable type of information for a scatter plot. Calories consumed and body weight are both numerical variables, and by plotting each person's calorie intake on the x-axis and their body weight on the y-axis, we can analyze any correlation between the two.
4. Relationship between height and hair color: Unlike the previous examples, this type of information is not suited for display on a scatter plot. Hair color is a categorical variable, not a numerical one. Scatter plots are designed to visualize relationships between numerical variables, so it would not be appropriate to use a scatter plot to display the relationship between height and hair color. Instead, it would be more appropriate to use a bar graph or a stacked bar graph to compare the distribution of different hair colors across different height ranges.
In conclusion, the type of information that is NOT suited for display on a scatter plot is the relationship between height and hair color (option 4).