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Analyzing Bivariate Data

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Term
Definition
Scale   The range of values and the increments used for the axis of a graph.  
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Origin   The point at which the axes of the graph intersect.  
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Scatter plot   A graphical representation of two quantitative variables through plotted points.  
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Quantitative variable   A quantity that has measurable, numeric values or counts.  
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Direction   The positive or negative relationship between two variables.  
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Form   The linear or non-linear relationship between two variables, also called the trend.  
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Strength   An assessment of the degree of a relationship that can be determined by how closely points follow the form.  
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Outlier   A data point that differs significantly from other observations.  
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Explanatory variable   A type of independent variable that helps explain the changes to the response variable.  
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Response variable   A type of dependent variable that is the outcome of the explanatory variable and is the quantity of interest.  
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Quadratic relationship   A relationship between two variables that represents a quadratic equation.  
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Exponential relationship   A relationship between two variables where one of the variables is an exponent.  
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Line of best fit   A straight line that best represents the data in a scatter plot.  
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Linear extrapolation   used to predict values inside the range of the data  
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Linear interpolation   used to predict values outside the range of the data  
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Residual   The difference between an observed y-value and its predicted y-value found on the best-fit line.  
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Residual plot   A scatter plot with residuals on the vertical axis and the independent variable on the horizontal axis.  
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Correlation coefficient   A measure of the direction and the strength of a linear relationship, represented with the variable r.  
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Causation   the relationship between two variables where one variable is affected by the occurrence of the other variable  
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Created by: schaffermath
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