"Old Vehicles In Exercises 31–34, use the figure shown at the left.

Scatter Plot Construct a scatter plot of the data. Show y and x on the graph."

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Step 1: Identify the variables for the scatter plot. Here, the independent variable (x-axis) is the Year, and the dependent variable (y-axis) is the Average age of vehicles in years.

Step 2: Create a coordinate system with the x-axis labeled as 'Year' and the y-axis labeled as 'Average age (in years)'. Choose an appropriate scale for each axis to accommodate the range of data values.

Step 3: Plot each data point on the graph by pairing each year (x) with its corresponding average age (y). For example, plot the point (2014, 11.4), then (2015, 11.5), and so on for all years up to 2021.

Step 4: After plotting all points, review the scatter plot to observe any trends or patterns, such as whether the average age of vehicles is increasing over the years.

Step 5: Optionally, you can connect the points with a line to better visualize the trend, but remember that a scatter plot primarily shows individual data points.

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주요 개념

질문에 올바르게 답하기 위해 반드시 이해해야 하는 핵심 개념들은 다음과 같습니다.

Scatter Plot

A scatter plot is a graphical representation that displays values for two variables as points on a coordinate plane. Each point corresponds to one observation, with the x-axis representing the independent variable (year) and the y-axis representing the dependent variable (average vehicle age). This helps visualize trends or relationships between variables.

Independent and Dependent Variables

In this context, the year is the independent variable (x), which is controlled or selected, while the average age of vehicles is the dependent variable (y), which changes in response to the year. Understanding this distinction is crucial for correctly plotting and interpreting the data.

Trend Analysis

Trend analysis involves examining data points over time to identify patterns or directions, such as increasing or decreasing trends. Here, plotting the average vehicle age over years helps determine if vehicles are generally getting older on U.S. roads, indicating changes in usage or longevity.

"Old Vehicles In Exercises 31–34, use the figure shown at the left.Scatter Plot Construct a scatter plot of the data. Show y and x on the graph."