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In a coordinate graph of two related variables when does it make sense to connect the points?
When the data on the graph is continuous,it does make sense to connect the points on the graph of 2 related variables.
When do you not connect the dots on a graph?
You do not connect the dots on a graph when the data points are discrete and not continuous. In other words, when the values represent distinct and unrelated data points rather than a continuous sequence. Connecting the dots in such cases would imply a relationship or trend between the points that does not exist. It is important to consider the nature of the data being represented to determine whether connecting the dots is appropriate.
What is a graph with lines connected to data points called?
either a scatter graph or a line graph xx :)
What is a sentence using the word graph?
The graph showed the results from his experiment. You can graph the data points to see what type of curve your equation defines.
What does non linear graph mean?
a non linear graph pretty much means the points on the graph do not create a straight line. in order for a graph to be linear both the x axis and y axis have to increase/decrease at a constant rate, while in a non-linear graph when you connect the point it creates a line that isn't straight. however, in experimental data if the points are a bit off, but still in one general area, it can be considered linear.
In a coordinate graph of two related variables when does it make sense to connect the points?
When the data on the graph is continuous,it does make sense to connect the points on the graph of 2 related variables.
Does a best fit line connect all of the data points in a line graph?
yes
A bar graph differs from a line graph because?
the points on a bar graph are not connected to each other.
Why is it don't you connect the dots when making a graph?
Connecting the dots in a graph can create the impression of continuous data points, which may not be accurate if the data is discrete or if there are gaps in the data. It's important to accurately represent the data without adding any assumptions that could mislead the interpretation. Connecting the dots can make it harder to see the individual data points and trends.
When do you not connect the dots on a graph?
You do not connect the dots on a graph when the data points are discrete and not continuous. In other words, when the values represent distinct and unrelated data points rather than a continuous sequence. Connecting the dots in such cases would imply a relationship or trend between the points that does not exist. It is important to consider the nature of the data being represented to determine whether connecting the dots is appropriate.
What does it mean to plot data points?
If you had a formula you would plug numbers in for the variables and solve for the other variables create a list of coordinates (data points). Next you would graph those points and connect the dots.
Why do you connect points on a coordinate graph?
If the variables are something continuous, then you should connect the points. For example, if it is your height and weight then since those variables are continuous it is necessary to connect the points plotted on the coordinate graph.
When do you not connect the points on a graph?
that depends on what you are trying to do
In a coordinate graph of two related variables when does it make sense to connect points on a graph?
(it makes sense to connect the points on a graph wen there is movement....or so u can see it more cearly)--BreeBree..... hope i helped!! OR you could connect the points when it is a continuous thing.
When the points on a graph are connected and it makes sense to connect them?
No.If the points on the graph are connected then they are already connected so it would be complete waste of time to connect them.
Why are the points of a bar graph not connected?
Because their is no lines on the graph to connect the point.
What type of graph would be best for data points?
A scatter plot would be best for non-related data points. A line graph would be best for related data points.
