megan turn on your headlights! the snake is in the bush
^what kind of answer was that -.-
The most common plots are bar charts and scatter/ line plots. Scatter plots as used in the Excel program, have continuous scales on the x and y coordinates. So, if your data is measured on a continuous scale, which includes many physical measurements are (ie: temperature, weights, speed, lengths or heights) then a scatter plot makes sense.
It's bc extrapolation is invloved
to show the relationship between 2 sets of data
A statistical graph that plots three or more related quantities simultaneously is often referred to as a multivariate plot. One common type of multivariate plot is a scatter plot matrix, where multiple scatter plots are arranged in a grid to show relationships between pairs of variables. Other types include 3D scatter plots and parallel coordinate plots, which can help visualize complex data sets with multiple dimensions.
scatter plots, you see show this information.
There is nothing bad about using scatter plots.
a scatter plot is a piece of data that shows you how to make a prediction
The most common plots are bar charts and scatter/ line plots. Scatter plots as used in the Excel program, have continuous scales on the x and y coordinates. So, if your data is measured on a continuous scale, which includes many physical measurements are (ie: temperature, weights, speed, lengths or heights) then a scatter plot makes sense.
pala tau
scatter plot and line graph
It would be just like a Coordinate Grid.
It's bc extrapolation is invloved
to show the relationship between 2 sets of data
See related link. You can also search for "scatter plots" to see lots of examples.
scatter plots, you see show this information.
Scatter plots, line graphs, pies and bar charts.
Points are useful to represent individual data values or observations in a dataset. They can provide a visual representation of the data and help identify patterns, trends, or outliers in the data. Points are commonly used in scatter plots, line graphs, and other types of data visualization.