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Alg1B Unit 7

Analyzing Bivariate Data

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