The scale of a graph refers to the range of values represented on its axes and how those values are spaced. It determines how data points are plotted and can significantly affect the interpretation of trends and relationships within the data. A well-defined scale ensures that the graph accurately represents the information and allows for clear comparisons, while a poorly chosen scale can distort perceptions and lead to misunderstandings.
I am not sure. somebody answer this question for me!
Data from an interval scale can be effectively represented using line graphs, bar graphs, and histograms. Line graphs are particularly useful for displaying trends over time, while bar graphs can compare different categories. Histograms are ideal for showing the distribution of continuous data. Each of these graph types allows for meaningful interpretation of interval data, highlighting relationships and patterns.
I'm unable to view or analyze graphs directly. However, if you describe the key features of the graphs, such as the direction of the lines, shaded regions, or specific points, I can help you determine the appropriate inequality that suits them.
Most graphs use two scales: a horizontal scale and a vertical scale. What is on the scales depends on what the graph is to be used for. For example: the vertical scale could show distance travelled, while the horizontal scale could show the time.
I looked up and I think you use them to draw graphs but can use them to draw straight lines.
Adjust the scale accordingly.
I am not sure. somebody answer this question for me!
All graphs must have a title, an axis, labels, intervals, and a scale. You can remember this using the acronym TAILS: title, axis, intervals, scale.
It's is useful to use the same scale for two graphs because if you're comparing them then you want a "fair" measurement and you need a balanced and even scale as well.
Not always do they have a break.
b the pie graph is circle ok
Graphs are a way to organize collected data from a subject.
Data from an interval scale can be effectively represented using line graphs, bar graphs, and histograms. Line graphs are particularly useful for displaying trends over time, while bar graphs can compare different categories. Histograms are ideal for showing the distribution of continuous data. Each of these graph types allows for meaningful interpretation of interval data, highlighting relationships and patterns.
It depends on 100 of what, but line graphs can have a scale greater than 100.
The characteristic that does not describe a minor scale is being major in tonality.
This helps you to know how much data is being covered. Some bar graphs will show just a little information while others will be in millions.
to observe general trends and pattern in a data