[DATA] Crickets make a chirping noise by sliding their wings rapidly over each other. Perhaps you have noticed that the number of chirps seems to increase with the temperature. The following data list the temperature (in degrees Fahrenheit) and the number of chirps per second for the striped ground cricket.
b. Create a scatterplot of the data.

Verified step by step guidance

1. Step 1: Organize the data points as pairs of (Temperature, Chirps per Second). From the table, list each pair as (x, y), where x is the temperature and y is the chirps per second. For example, (88.6, 20.0), (93.3, 19.8), and so on for all data points.
2. Step 2: Set up the coordinate axes for the scatterplot. Label the horizontal axis as 'Temperature (°F)' and the vertical axis as 'Chirps per Second'. Choose an appropriate scale for each axis that covers the range of the data values.
3. Step 3: Plot each data point on the graph by locating the temperature value on the x-axis and the corresponding chirps per second on the y-axis. Mark each point clearly, for example with a dot or a small circle.
4. Step 4: After plotting all points, observe the overall pattern or trend. This visual representation will help you see if there is a positive relationship between temperature and chirping rate, as suggested by the data.
5. Step 5: Optionally, add a title to the scatterplot such as 'Scatterplot of Cricket Chirps per Second vs. Temperature' to clearly describe what the graph represents.

Key Concepts

Scatterplot

A scatterplot is a graphical representation that displays the relationship between two quantitative variables by plotting data points on a Cartesian plane. Each point represents a pair of values (x, y), allowing visualization of patterns, trends, or correlations between variables such as temperature and chirps per second.

Correlation

Correlation measures the strength and direction of a linear relationship between two variables. In this context, it helps determine whether higher temperatures are associated with more cricket chirps per second, indicating a positive, negative, or no correlation.

Data Interpretation

Data interpretation involves analyzing the plotted data to draw meaningful conclusions. Understanding how to read the scatterplot, identify trends, and consider variability is essential for explaining the relationship between temperature and cricket chirping behavior.