4.8 Adding More Explanatory Variables to a Plot

What is the purpose of adding more explanatory variables to a plot?

• To make the plot more colorful

• To improve predictions about the outcome variable

• To make the plot more complex

• To reduce the number of data points

What does the term "multivariate hypothesis" refer to?

• A hypothesis with one explanatory variable

• A hypothesis with more than one explanatory variable

• A hypothesis with no explanatory variables

• A hypothesis with only outcome variables

Which axis is typically used for the outcome variable in a plot?

• x-axis

• y-axis

• z-axis

• None of the above

What is the most significant way color can be used in a plot?

• To make the plot more attractive

• To add a second explanatory variable

• To highlight the outcome variable

• To differentiate between different plots

What is the benefit of using a multivariate hypothesis in data visualization?

• It simplifies the data

• It allows for better predictions

• It reduces the number of variables

• It eliminates the need for a plot

What is the role of "Other Stuff" in the word equation for hypotheses?

• It represents additional explanatory variables

• It represents unknown factors affecting the outcome

• It represents the outcome variable

• It represents the x-axis

Which of the following is NOT a method mentioned for exploring multivariate hypotheses?

• Using color

• Using a basic scatter plot

• Using a pie chart

• Adding more explanatory variables

What is the relationship between the outcome and explanatory variables in a plot?

• The outcome variable is independent of the explanatory variable

• The outcome variable is dependent on the explanatory variable

• The outcome variable is always greater than the explanatory variable

• The outcome variable is always less than the explanatory variable