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What graph in which the data points don't fall along with a straight line?
A non-linear graph.
What is a graph where the data points do not fall along a straight line is called?
There is no specific name. It could be a non-linear graph, or a scatter graph.
A line graph in which the data points do not fall along a straight line is called a?
nonlinear graph.
A line graph in which the data points do not fall along a straight line is called?
nonlinear graph
A positive linear relationship exists when the points in a Pareto graph fall approximately in an ascending straight line?
False.
What is a graph in which the data points do not fall along a straight line?
a line of best fit
What is a line graph in which the data points do not fall along a straight line is?
a line of best fit
What is A line graph in which the data points do not fall along a straight line?
a line of best fit
What is the line graph in which the data points do not fall along a straight line?
a line of best fit
Why isnt it necessary for all of the data points to be on the drawn line of the graph?
The line of a graph is quite often used to indicate the average of various data points that fall both above and below the line. Very jagged lines get smoothed out, but the trend is the same.
What does a line graph in which the data points do not fall along a straight line mean?
There are several possible answers: The line is actually meant to be a curved line and not a straight line. The relationship between the two variables is not a linear function. Discovering this can be one of the main reasons for drawing the graph. The data points are empirical measurements (from an experiment, for example) and there are errors associated with the observations. The errors may be systematic or random. You have made mistakes - either in recording the data or in plotting them.
What is it called When a line graphs data points do not fall along a straight line?
When the data points on a line graph do not fall along a straight line, it is referred to as a nonlinear relationship. This indicates that the relationship between the variables is more complex, potentially involving curves or other shapes rather than a simple linear correlation. Nonlinear patterns can arise from various factors, such as exponential growth, quadratic relationships, or cyclical trends.
