Two numbers, a and b, that satisfy the equation a+b=0.
An equation or a graph that describes, at least approximately, the relationship between two variables.
Non-numerical data sets.
A nonlinear relationship in which the product of two variables is constant. This relationship can be represented by an equation of the form y=kx, or xy=k, where k is a constant.
A measure of the strength of a linear relationship between two variables using a decimal number between −1 and 1.
The error calculated by finding the difference between an actual data point and the value that a model for the data predicts.
Two numbers, a and b, that satisfy the equation ab=1.
A value that lies far from the “center” of a distribution. This is a relative term, but it indicates a data point that is much higher or much lower than the values that could be normally expected for the distribution.
The number that expresses the steepness of a line. This number is the ratio of the vertical change to the horizontal change between any two points on the line.
A graph used to explore the relationship between two variables.
A relationship in which there is a constant rate of change between two variables. This relationship can be represented by a straight-line graph and by an equation of the form y=mx+b. In the equation, m is the slope of the line, and b is the y-int.
A relationship between two variables in which the value of one variable depends on the value of the other variable.
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