# Activities to Teach Students to Make Predictions With Scatter Plots

As a mathematics teacher, it is essential to engage students in active learning activities that not only make learning fun but also enable them to develop critical thinking skills. Making predictions with scatter plots is an important skill that students need to acquire, and teachers can use various activities to teach students how to do so effectively.

One crucial activity for teaching students how to make predictions with scatter plots is to use real-life data. Teachers can use data from different sources such as newspapers, sports, or weather reports to create scatter plots. The data will be used to create scatter plots, which students can use to make predictions and insights.

Before starting the activity, teachers can present a brief lecture to their students on scatter plots and their importance. As students work with the data, teachers can guide them through the process of creating the plots starting with gathering the required data, plotting the points, and interpreting the plot afterward.

Another effective activity for teaching students how to make predictions with scatter plots is to use a graphing calculator. Teachers can provide students with a list of scatter plot data, and they can work together in small groups, using graphing calculators to plot the points and make predictions.

The graphing calculator enables students to manipulate the data through different scales, axes, and functions, making them more comfortable with the concept of making predictions with scatter plots.

An activity that teaches students how to make predictions with scatter plots effectively is to provide them with incomplete scatter plots. Teachers can provide a scatter plot with only a few points, and students can be assigned the task of predicting the position of missing data.

This activity is useful in engaging students in problem-solving and critical thinking and helps them to predict the missing values by understanding the trend and pattern of the available data.

Finally, teachers can identify scatter plots that display non-linear relationships and use them as an activity to teach students how to make predictions with non-linear relationships. When presenting this activity, teachers can guide students through the process of identifying the type of non-linear relationship, drawing a line of best fit, and making a prediction.

In conclusion, activities that teach students how to make predictions with scatter plots are crucial in helping them develop critical thinking and problem-solving skills. Using real-life data, graphing calculators, incomplete scatter plots, and non-linear relationships are effective activities that teachers can use in teaching this concept. By engaging students in these hands-on activities, they can acquire and retain the skills needed to interpret and make predictions with scatter plots.