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.
A scatter plot is a type of graph that displays points representing the values of two different variables. Each point on the graph corresponds to an individual data observation, with one variable plotted along the x-axis and the other along the y-axis. Scatter plots are useful for visualizing relationships, trends, or correlations between the variables. They can help identify patterns, clusters, or outliers in the data.
It's bc extrapolation is invloved
to show the relationship between 2 sets of data
Scatter plots are graphical representations that display the relationship between two quantitative variables, with each point representing an observation in the dataset. A trend line, often a linear regression line, can be added to these plots to illustrate the overall direction or trend of the data points, helping to identify patterns or correlations. By analyzing multiple scatter plots, one can compare different datasets or relationships, making it easier to draw insights from the data. The combination of scatter plots and trend lines is a powerful tool for visualizing and interpreting statistical relationships.
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.
A scatter plot is a type of graph that displays points representing the values of two different variables. Each point on the graph corresponds to an individual data observation, with one variable plotted along the x-axis and the other along the y-axis. Scatter plots are useful for visualizing relationships, trends, or correlations between the variables. They can help identify patterns, clusters, or outliers in the data.
It's bc extrapolation is invloved
to show the relationship between 2 sets of data
Scatter plots are graphical representations that display the relationship between two quantitative variables, with each point representing an observation in the dataset. A trend line, often a linear regression line, can be added to these plots to illustrate the overall direction or trend of the data points, helping to identify patterns or correlations. By analyzing multiple scatter plots, one can compare different datasets or relationships, making it easier to draw insights from the data. The combination of scatter plots and trend lines is a powerful tool for visualizing and interpreting statistical relationships.
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.
See related link. You can also search for "scatter plots" to see lots of examples.