A linear function that is displayed on a graph or a graphical device. Where the function's different values for n variables can be iterated or cross-referenced with other functions.
You use 2 colors for the bars so you can compare things. Maybe one color for male unemployment, and one color for female over several years. You can look to se trends for increasing and decreasing unemployment and you can see which consistently has a higher unemployment or if one sex had higher unemployment then maybe it switched to the other.
A scatter graph with one variable plotted along the x-axis and the other along the other axis.
line graph or a scatter plot.
A line graph can tell you how changes in one variable are related to changes in the other. A line graph cannot show causality. A line graph can show non-linear relationships which some other analytical techniques may not identify. In particular, they are good for identifying relationships between the variables that change over the domain. A line graph can also help identify points where the nature of the relationship changes - eg tension and breaking point, or temperature and phase. The spread of observations about the "line of best fit" gives a measure of how closely the variables are related and how much of the measurement is systemic or random error.
a bar graph
How different items compare to each other
A bar graph is a graph that has vertical or horizontal bars to represent numbers. A bar graph is usually used to compare two different things with each other.
Curves in different places on a graph can show us the relationship between two variables. For example, a curve that slopes upwards indicates a positive correlation between the variables, while a curve that slopes downwards indicates a negative correlation. The shape and direction of the curve provide insight into how the variables interact with each other.
Select any value for one of the variables in the graph and solve the equation to get the other variable.
it is a circle graph
A linear function that is displayed on a graph or a graphical device. Where the function's different values for n variables can be iterated or cross-referenced with other functions.
A perfect complements graph helps to show how two variables are related in a specific way where they must be used together in fixed proportions. This type of graph is significant in understanding how the quantities of the two variables are interdependent and how they affect each other's utility or satisfaction.
Bar Graph
There are many different functions and features which differentiate the various models of GPS devices. You should compare the devices based on variables such as price, size, wifi capability, bluetooth capability, and other features.
You use 2 colors for the bars so you can compare things. Maybe one color for male unemployment, and one color for female over several years. You can look to se trends for increasing and decreasing unemployment and you can see which consistently has a higher unemployment or if one sex had higher unemployment then maybe it switched to the other.
In two main situations: 1. When there are so many observations that the bars would be extremely thin, and also differences in class widths are no longer of great importance. 2. When you wish to compare two (or more) "dependent" variables, and if plotted as bars, one would hide the other.