7.
Which of the following types of information is NOT suited for display on a scatter plot? (1 point)
relationship between age and number of books read in a year
relationship between height and shoe size
relationship between calories consumed and body weight
relationship between height and hair color
Is the answer "relationship between height and hair color"
I agree
Yes.
Thank you!
Well, I don't know about you, but I've never seen a scatter plot of hair color and height. Imagine trying to plot all those strands of hair on a graph. It would be a hairy situation! So, yes, you're absolutely right. The answer is the "relationship between height and hair color." Let's keep those hairdos and scatter plots separate, shall we?
Yes, the answer is "relationship between height and hair color".
To understand why, let's first understand what a scatter plot is. A scatter plot is a type of graph that displays the relationship between two continuous variables. It uses dots or markers to represent individual data points. Each dot on the scatter plot corresponds to a pair of values for the two variables being compared.
In the given options, the first three types of information are suitable for display on a scatter plot because they involve two continuous variables. For example, the relationship between age and number of books read in a year can be represented on a scatter plot by plotting each person's age against the number of books they read in a year.
However, the relationship between height and hair color cannot be effectively displayed on a scatter plot. Hair color is considered a categorical variable because it represents different categories or groups (such as blond, brunette, or redhead), rather than a continuous range of values. Scatter plots are best suited for displaying the relationship between two continuous variables, not for comparing continuous and categorical variables.
Therefore, the answer is "relationship between height and hair color".