to show the relationship between 2 sets of data
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.
Scatter plots are used to investigate a possible correlation between two variables that are associated with the same “event.”
they are used for x and y data when x doesnt really relate to y
It's bc extrapolation is invloved
megan turn on your headlights! the snake is in the bush ^what kind of answer was that -.-
There is nothing bad about using scatter plots.
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 piece of data that shows you how to make a prediction
pala tau
scatter plot and line graph
Scatter plots are used to investigate a possible correlation between two variables that are associated with the same “event.”
It would be just like a Coordinate Grid.
they are used for x and y data when x doesnt really relate to y
It's bc extrapolation is invloved
megan turn on your headlights! the snake is in the bush ^what kind of answer was that -.-
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.