📚 Topic Summary
Bivariate data is data that involves two different variables. A scatter plot is a graph that displays bivariate data as a collection of points. Each point on the scatter plot represents a pair of values for the two variables. By looking at the pattern of the points, you can often see if there's a relationship or correlation between the variables. This helps us understand how one variable might be affected by the other. A positive correlation means as one variable increases, the other also tends to increase. A negative correlation means as one variable increases, the other tends to decrease. If the points are scattered randomly, there might be no correlation.
📊 Part A: Vocabulary
Match the terms with their correct definitions:
| Term |
Definition |
| 1. Bivariate Data |
A. A graph that displays the relationship between two variables. |
| 2. Scatter Plot |
B. A relationship between two variables where one increases as the other decreases. |
| 3. Positive Correlation |
C. Data that involves two different variables. |
| 4. Negative Correlation |
D. No clear relationship between two variables. |
| 5. No Correlation |
E. A relationship between two variables where one increases as the other increases. |
Match: 1-?, 2-?, 3-?, 4-?, 5-?
✍️ Part B: Fill in the Blanks
A _________ _________ is a visual way to represent _________ data. It shows how two _________ are related. If the points generally go up from left to right, it's a _________ correlation. If they go down, it's a _________ correlation.
🤔 Part C: Critical Thinking
Imagine you collect data on the number of hours students study and their test scores. How would you use a scatter plot to analyze this data, and what might a positive correlation indicate in this scenario?