Scatterplots
Correlation
Regression line
Coefficient of Determination
Residuals
100
Instead of the independent variable, statisticians like to call their x-axis variable this.
What is the explanatory variable?
100
Correlation values are always within this range.
What is between -1 and 1?
100
This "line of best fit" is referred to with the acronym LSRL.
What is the Least Square Regression line?
100
This is the name for the statistic designated by "r squared".
What is the coefficient of determination?
100
This is a word for the distance between a data value and the predicted value of a least square regression line.
What is a residual?
200
Instead of the "dependent" variable, statisticians like to call their y-axis variable this.
What is the response variable?
200
True or false: correlation necessarily implies causation.
Um... What is "false"?
200
If a computer stat output would give this regression line equation: y(hat) = 19.5 + .563x, this would be the predicted value when x = 12.
What is 26.256?
200
If a computer regression output comparing how quiz averages are associated to final exam grades has an r-Square of 78.2%, the r-square statistic tells us this.
What is "78.2% of differences in exam grades can be explained by differences in quiz averages"?
200
When a residual plot shows the residuals forming some sort of pattern, the data is said to be this.
What is non-linear?
300
These are three qualities we want to examine when looking at a scatter plot.
What are direction, strength, and form (linear or non-linear)
300
This statistic provides a measure of strength of linear associations between two quantitative variables
What is the correlation coefficient (r)?
300
This is a word for when somebody uses a regression equation to predict values outside of the range of their data set.
What is "extrapolation"?
300
Since r-square is always positive, this additional info from a computer regression output can be used to determine direction of correlation of two variables.
What is the slope coefficient?
300
Since a regression line splits the residuals into half above the line and half below, the sum of all residuals for a set of data is this.
What is zero?
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