How to Interpret a Scatter Plot

This video tutorial teaches how to interpret scatter plots by examining positive and negative associations, identifying outliers, and predicting trends. It uses a real-world example of high temperatures recorded over ten days in January. The tutorial is divided into four parts, each focusing on a specific aspect of scatter plot analysis, including finding specific values, identifying outliers, determining data association, and predicting future trends based on data patterns.

What was the high temperature in degrees Fahrenheit on day five according to the scatter plot?

What does the Y axis represent in the scatter plot?

Based on the scatter plot, which day does the high temperature seem to be an outlier? Explain your reasoning.

Explain what an outlier is in the context of the scatter plot.

Determine whether the data in the scatter plot has a positive or negative association and explain your reasoning.

What is the expected high temperature on day 15 compared to day 10? Is the student correct in their assumption?

How do you interpret the data points in the scatter plot regarding temperature trends?