0
What else can I help you with?
What is the relationship between two variables?
The relationship between two variables is called a relation. A relation in which a set of input values maps onto a set of output values such that each input corresponds to at most one output is called a "function." Functions do not necessarily have to be lines; they do not even have to be exponential, or parabolic, or continuous. A bunch of scattered points or lines that meets the requirements can still be considered a function involving two variables.
Is age a continuous variable?
Continuous variables have an unlimited number of possibilities between two points. In the scientific realm, age is a continuous variable.
What type of data has an infinite number of points between each measurement?
I think you are going for continuous variable, as compared with discrete variables.
What is A line drawn in the midst of the points on a scatter plot in an attempt to estimate the mathematical relationship between the variables of the plot?
It is called the line of best fit
How do you know if you have a positive correlation on your scatter plot?
The points are increasing from left to right. They are scattered but they are increasing non the less.
When the data points on a graph are scattered with no clear pattern there is between the two variables?
No correlation. Answer provided by
What happens when two variables are unrelated on a graph?
You get a set of points that appear to be scattered randomly.
A general pattern of a scatter plot?
There is no such thing as a general pattern. Depending on the variables and the relationship between them, you can have points all over the plot, exactly on a straight line or a curve, or close to such a line or curve.
In a coordinate graph of two related variables when does it make sense to connect the points?
When the data on the graph is continuous,it does make sense to connect the points on the graph of 2 related variables.
What is the relationship between two variables?
The relationship between two variables is called a relation. A relation in which a set of input values maps onto a set of output values such that each input corresponds to at most one output is called a "function." Functions do not necessarily have to be lines; they do not even have to be exponential, or parabolic, or continuous. A bunch of scattered points or lines that meets the requirements can still be considered a function involving two variables.
The function N gives a relationship between the variables Player and Points?
"Player" is the independent variable, and "Points" is the dependent variable.
What is linear pattern?
A linear pattern is a consistent and predictable change in a series of data points that can be represented by a straight line on a graph. It indicates a constant rate of change between the variables being studied.
When the data points on a graph tend to go up as they go to the right there is between the two variables?
Positive correlation
Is it possible to draw a trendline on a scatter plot that shows no association?
Yes, it is possible to draw a trendline on a scatter plot that shows no association. In such cases, the trendline may be flat or have a very shallow slope, indicating that there is no significant relationship between the variables. However, the presence of a trendline does not imply a meaningful correlation; it merely represents a statistical fit to the data points, which may be scattered randomly without any discernible pattern.
What is collinearity?
It means that a certain set of points are all on the same line.
What two variables do you need to know to determine the gradient between two points on a map?
The height of the land, and the scale of the map
Is it possible to make a prediction based in a scatter plot with no correlation?
Correlation is an estimate of a linear relationship between two variables and takes no account of non-linear relationship. If the relationship is quadratic and the domain is symmetric about some point, the correlation will be zero. It is, thus possible for the points on the scatter plot to lie exactly on a parabola while the calculated correlation is zero. In such a case, it is easy to make a prediction despite no correlation.
