It tells you the relationship between the X value and the Y value is constant.
It tells you if the data raised alot or little.(Ex:if the first point is x95:y5 and the second is x95:y90 it is a steep slope.)
First they all tell you the percentages of something and they tell you peoples opinion on things.
It's impossible to tell unless we have both the graph and the set of data.
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.
to tell them why you made this graph
The slope of each point on the line on the graph is the rate of change at that point. If the graph is a straight line, then its slope is constant. If the graph is a curved line, then its slope changes.
it is impossible to tell the slope of a line graph without proper points to evaluate from.
the rate of change on the line.
A slope is 0 if it is a straight horizontal line. A slope is undefined if it is a straight vertical line.
It tells you that the speed of the object is not changing. The speed is represented by the slope in a distance vs. time graph, if slope doesn't change, speed doesn't.
velocity
If the line slants up and to the right, it has a positive slope. If it is slanting up and to the left, it has a negative slope.
By definition, if you graph the relationship between two variables and the result is a straight line (of whatever slope) that is a linear relationship. If it is a curve, rather than a straight line, then it is not linear.
The slope will tell you how much change of Y to X >.
A line on a graph that compares two variables, temperature for example tells us a great deal about the relationship of these variables in the experimental system. When the line is straight it reflects a direct and proportional relationship between the two factors.
A linear function would be represented by a straight line graph, so if it's not a straight line, it's nonlinear
Linear growth means that the graph is a straight line.