i believe the answer is....
A strong OBSERVATION can be useful for making predictions
Predictions
Data tabel
line graph
line graph
line graph
A scatter plot is most useful for making predictions about dependent variables, as it visually represents the relationship between two variables, typically with one on the x-axis (independent variable) and the other on the y-axis (dependent variable). By analyzing the pattern and trend in the data points, one can identify correlations and make predictions about how changes in the independent variable may affect the dependent variable. Additionally, fitting a regression line to the scatter plot can provide a mathematical model for making more precise predictions.
glass is fragile,yet strong
disadvantage making predictions
A scatter plot is most useful for making predictions about the dependent variable, as it visually represents the relationship between the independent and dependent variables. By fitting a trend line or regression line to the data points, one can identify patterns and make predictions based on the observed relationship. Additionally, line graphs can also be effective, especially when showing trends over time.
Making predictions simply means to try to guess what might happen in the future. To make predictions, one should have some knowledge of the subject.
The number of electrons an element has determine the organization. This table helps in making predictions about how an element will chemically react.
Extrapolation.