Brittney is making a graph to compare the average high temperature in five cities. Which type of graph would be the most appropriate for Brittney to use?

I'd use a bar graph.

venn diogramm

yeah that makes more sense

What type of graph is best to use to show data that are parts of a whole?

A. Venn diagram
B. line graph
C. histogram
D. circle graph

To determine the most appropriate type of graph for comparing the average high temperature in five cities, there are a few options to consider.

1. Line Graph: A line graph is suitable for showing the trend of data over a continuous period of time. If Brittney wants to compare the average high temperature of the five cities over a specific time frame, such as months or years, a line graph would be a good choice. This type of graph allows for easy visualization of how the temperatures fluctuate.

2. Bar Graph: A bar graph is effective for comparing discrete categories, such as the average high temperature of different cities. If Brittney wants to compare the temperatures of the five cities at a specific point in time, such as a specific month or year, a bar graph would be appropriate. Each bar represents a different city, and the height of the bar represents the average high temperature.

3. Scatter Plot: A scatter plot is useful if Brittney wants to compare the average high temperature and another variable, such as latitude or elevation. Each data point represents a city, with one axis representing the average high temperature and the other representing the additional variable. This type of graph allows for identifying potential relationships between the variables.

To choose the most appropriate type of graph, Brittney should consider the specific requirements of her analysis and the main purpose of the graph. Does she want to show the temperature trends over time, compare the temperatures at a specific point in time, or explore the relationship between temperature and another variable? Answering these questions will help determine the best graph type for her needs.