The height of the land, and the scale of the map
A scatter plot is commonly used to compare or determine the relationship between two variables. It displays individual data points on a Cartesian plane, allowing for visual assessment of correlations, trends, or patterns. Additionally, line graphs can also be employed when illustrating the relationship between variables over time.
The approximate gradient of the hill between points x and y can be calculated by taking the difference in elevation between the two points and dividing it by the horizontal distance between them. This is often expressed as the rise over run. If the elevation at point x is higher than at point y, the gradient will be negative, indicating a downhill slope, while a positive gradient indicates an uphill slope. The steeper the hill, the larger the absolute value of the gradient.
A line is the locus of points such that the gradient (slope) between that point and one fixed point in the plane is a constant. Technically, that definition does not include a vertical line because its gradient is not defined! You could get around that this by requiring that either the gradient is a constant or, if it is undefined, then the inverse gradient (dx/dy) is constant.
Provided the run is not zero, rise/run gives the gradient, or slope, between two points.
Positive correlation
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A scatter plot is commonly used to compare or determine the relationship between two variables. It displays individual data points on a Cartesian plane, allowing for visual assessment of correlations, trends, or patterns. Additionally, line graphs can also be employed when illustrating the relationship between variables over time.
A line is the locus of points such that the gradient (slope) between that point and one fixed point in the plane is a constant. Technically, that definition does not include a vertical line because its gradient is not defined! You could get around that this by requiring that either the gradient is a constant or, if it is undefined, then the inverse gradient (dx/dy) is constant.
When the data on the graph is continuous,it does make sense to connect the points on the graph of 2 related variables.
"Player" is the independent variable, and "Points" is the dependent variable.
When you have three collinear points there is one gradient. I'm not sure what your question is specifically but when points are collinear they have the same gradient.
The distance between two points must be known to determine the average slope between the two points. You must also know the change in elevation.
No correlation. Answer provided by
To determine the potential difference between two points in a circuit, you can use a voltmeter. Connect the voltmeter across the two points you want to measure and the reading displayed on the voltmeter will indicate the potential difference between those two points.
no correalation
In science, a best fit line is a straight line that represents the trend in a set of data points. It is used to determine the overall relationship between the independent and dependent variables in an experiment or observation, helping to identify patterns and make predictions based on the data. The best fit line minimizes the overall error or distance between the line and the data points, providing a visual representation of how the variables are related.
Provided the run is not zero, rise/run gives the gradient, or slope, between two points.