by making relationships easier to see
true
Tables and graphs are useful because they help u visual and representation and organize information to show patterns andrelationship.
Use Microsoft Excel.
Intercept for a graph are points at which the graph crosses either axis. There is no such thing as an intercept for tables.
tables, diagrams, bar graphs, forms, maps
true A+
Graphing helps scientists to interpret data. It makes a visual format that shows patterns that help to analyze data and make predictions to disprove or support a hypothesis.
Scientists use data tables and graphs to organize their data. Data tables allow for a clear presentation of numerical information, while graphs provide a visual representation of trends and patterns in the data.
tables,figures,charts,graphs,diagrams,internet graph
Nonrepresentational graphics include: tables, forms, bar graphs, line graphs, pie graphs and instrument gauges.
Scientists use data to create charts, graphs, and tables to visually represent their findings. These visualizations help simplify complex data and make it easier for others to understand the results of an experiment. It also allows for comparisons and patterns to be easily identified.
Graphs, tables, charts or written statements/conclusions
by making relationships easier to see
Scientists organize data using various methods such as creating tables, graphs, charts, and databases. They may also use statistical analysis to identify patterns, trends, and relationships in the data. Proper organization of data helps scientists to draw meaningful conclusions and make informed decisions based on their research.
Scientists use graphs, charts, and tables to visually represent data and help communicate findings more effectively. These visual aids make complex information easier to understand and allow patterns and trends to be easily identified. They also help with comparing data sets, displaying relationships visually, and presenting results in a clear and organized manner.
Scientists use charts, graphs, and tables to visually represent data in a clear and concise way. This helps them identify patterns, trends, and relationships in the data quickly and effectively. Visual representations also make it easier to communicate findings to others in a visual and understandable format.