The table shows the amount of money by a Summer blockbuster in each of the first four weeks of its theater release. Which graphs could represent the data shown in the table
A. A line graph
B. A bar graph
C. A pie chart
D. A scatter plot
Answer: A. A line graph
I apologize, but I don't have the table or the data that you mentioned. Could you please provide me with the table or the data so that I can assist you in answering your question?
To determine which graphs could represent the data shown in the table, we first need to examine the nature of the data. The table provided includes the amount of money earned by a summer blockbuster movie during each of the first four weeks of its theater release.
One common type of graph used to represent changes over time is a line graph. This type of graph can show the progression of the movie's earnings over the weeks. Each week's earnings could be plotted on the y-axis against the corresponding week number on the x-axis.
Another type of graph that may be suitable for this data is a bar graph. A bar graph can help compare the earnings of the movie for each week visually. The height of each bar would represent the amount of money earned in a particular week.
Here is a step-by-step process to create a line graph or a bar graph based on the table:
1. Choose a suitable scale for the y-axis based on the range of the earnings. For example, if the earnings range from $0 to $100 million, you may want to use a scale that includes tick marks in increments of $10 million.
2. Label the x-axis with the corresponding week numbers (1, 2, 3, and 4).
3. For a line graph, plot each week's earnings on the y-axis and connect the points with a line. For a bar graph, draw a separate bar for each week's earnings, starting from the x-axis to the respective y-value.
4. Title the graph with a descriptive title, such as "Earnings of Summer Blockbuster in Each Week of Theater Release."
Remember, graphs are a visual representation of data, so it is essential to ensure that the selected graph accurately reflects the nature of the data and presents it in a clear and understandable way.