The simplest graph for displaying two (2) quantitative variables simultaneously.
What is a scatterplot?
100
The range of values for the correlation coefficient.
What is between +1 and -1?
100
The slope coefficient in the least squares regression line equation.
What is b? Remember y = a + b x
100
An extreme value that may or may not affect the regression equation.
What is an outlier or influential observation?
100
The best two (2) indicators of a good fitting line.
What is r squared and residuals (or residual plot)?
200
The variable that does the predicting and is placed on the horizontal (x) axis. Also known as the independent variable.
What is explanatory (or predictor) variable?
200
A correlation coefficient when all the data points form a straight line.
What is +1 or -1?
200
The y-intercept coefficient in the least squares regression line equation.
What is a? Remember y = a + b x
200
An observation with a large residual value (in absolute value). Also, it falls far from the regression line and does not follow the pattern of the relationship apparent in the data.
What is an outlier?
200
The y-variable in a residual plot.
What is the residuals? The x-variable remains the same as the scatterplot.
300
The variable that is to be predicted and is placed on the vertical (y) axis. Also known as the dependent variable.
What is response variable?
300
The value when the magnitude of the correlation indicates the weakest association.
What is 0?
300
The symbol that represents the correlation coefficient.
What is r?
300
An observation whose removal would substantially affect the regression line.
What is an influential observation?
300
The buttons to press on the graphing calculator to view the residual plot in a rectangle.
What is ZOOM - 9?
400
The association when larger values of one variable tend to occur with larger values of the other variable.
What is a positive association?
400
A value when the magnitude of the correlation indicates the strongest association.
What is +1 or -1?
400
The symbol that represents the proportion of variability in the y-variable explained by the regression model with the x-variable.
What is r squared?
400
An observation with an extreme value of this variable are potentially influential.
What is the predictor or independent or explanatory variable?
400
The residual plot reveals this type of graph when a straight line (linear model) is a reasonable model.
What is a random scattering of points?
500
The concept of association where values of one variable tend to occur with certain values of another variable.
What is statistical tendency?
500
The third variable that explains why two (2) variables are related by their strong association without a cause-and-effect relationship.
What are lurking or confounding variables? CORRELATION does not mean CAUSATION!
500
The term to describe predicting y values of x beyond those contained in the data.
What is extrapolation?
500
A plot that can indicate when a linear model does NOT adequately describe the relationship in the data.
What is a residual plot?
500
The residual plot reveals this type of graph when a straight line (linear model) is NOT a reasonable model.