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Definition
Data that are described by two different variables, such as height and weight.
These data can be graphed on a Cartesian coordinate plane.
A cause-and-effect relationship in which one variable controls the changes in another variable.
A measure of the strength of the relationship between two variables.
A linear association between two variables such that when one variable increases, the other variable decreases.
A linear association between two variables such that when one variable increases, the other variable increases.
A number that expresses the strength of the correlation between two variables. It also shows whether the correlation is positive or negative. The correlation coefficient is called r.
The variable plotted on the x-axis; also called the explanatory variable. In an experiment, we see how changing the independent variable affects the dependent variable.
The variable plotted on the y-axis. It is also called the response variable. This variable responds to changes in the independent variable.
The variable plotted on the x-axis; also called the independent variable. In an experiment, we see how changing the explanatory variable affects the response variable.
The variable plotted on the y-axis; also called the dependent variable. This variable responds to changes in the explanatory variable.
A measurement of the association between two variables. The closer the value is to 1, the more likely it is that there is a positive correlation, and the closer the value is to - 1, the more likely it is that there is a negative correlation. It is also called Pearson's correlation coefficient.
A graph displaying a set of data as a collection of points.
causation
# two-variable data
::response variable
independent variable
:: r-value
explanatory variable
* positive correlation
correlation
scatterplot
dependent variable
:: correlation coefficient
negative correlation

1 answer

Here’s a structured view of your keywords and their corresponding answers:

| Key Word | Answer | |--------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------| | two-variable data | Data that are described by two different variables, such as height and weight. These data can be graphed on a Cartesian coordinate plane. | | causation | A cause-and-effect relationship in which one variable controls the changes in another variable. | | correlation | A measure of the strength of the relationship between two variables. | | negative correlation | A linear association between two variables such that when one variable increases, the other variable decreases. | | positive correlation | A linear association between two variables such that when one variable increases, the other variable increases. | | r-value | A number that expresses the strength of the correlation between two variables. It also shows whether the correlation is positive or negative. The correlation coefficient is called r. | | independent variable | The variable plotted on the x-axis; also called the explanatory variable. In an experiment, we see how changing the independent variable affects the dependent variable. | | dependent variable | The variable plotted on the y-axis; it is also called the response variable. This variable responds to changes in the independent variable. | | explanatory variable | The variable plotted on the x-axis; also called the independent variable. In an experiment, we see how changing the explanatory variable affects the response variable. | | response variable | The variable plotted on the y-axis; it is also called the dependent variable. This variable responds to changes in the explanatory variable. | | correlation coefficient | A measurement of the association between two variables. The closer the value is to 1, the more likely it is that there is a positive correlation; the closer to -1, a negative correlation. It is also called Pearson's correlation coefficient. | | scatterplot | A graph displaying a set of data as a collection of points. |

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