A negative correlation.
A broken line graph shows information by plotting points of info on the graph, with dots and connecting them with a line.
Instead of connecting points with a line, a bar graph uses bars to represent data.
points on an axis connected to form a line
A cumulative frequency polygon has straight lines connecting the points. A normal cumulative frequency diagram uses a smooth curve to join the points.
In a line graph, the data points represented are typically called "data values" or "data points." The graph displays these values along two axes: the x-axis (horizontal) usually represents the independent variable, while the y-axis (vertical) represents the dependent variable. The line connecting the points illustrates trends or changes in the data over time or another continuous variable.
A negative correlation.
y = x!
interpolation
They make points in space related to each other. Now they are connected in the problem, instead of just points on the graph.
A broken line graph shows information by plotting points of info on the graph, with dots and connecting them with a line.
Instead of connecting points with a line, a bar graph uses bars to represent data.
Anywhere you like.Anywhere you like.Anywhere you like.Anywhere you like.
points on an axis connected to form a line
Points on an axis connected to form a line
Yes, a graph that has a finite or limited number of data points is considered a discrete graph. Discrete graphs represent distinct, separate values rather than continuous data, which would be represented by a continuous graph. In a discrete graph, individual points are plotted, reflecting specific values without connecting lines between them.
A line graph would be the best way to show how the average daily temperature rises and falls over the course of a month. Each point on the graph would represent the average daily temperature for a particular day, and the line connecting these points would visually show the trend of temperature changes throughout the month.
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.