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Chapter 3: Describing Relationships

Horizontales
the difference between an obsessed value of the response and the value predicted by a regression line
Association does not imply ___.
graphical display of the relationship between two quantitative variables
line that describes the relationship between two quantitative variables
the coefficient of _________ describes the fraction of variability in y values that is explained by least squares regression on x
a ____ association is defined when above average values of one variable are accompanied by below average values of the over
individual points that substantially change the correlation or slop of the regression line
Verticales
the use of a regression line to make a prediction far outside the observed x values
the amount by which y is predicted to change when x increases by one unit
the ___ of a relationship in a scatterplot is determined by how closely the point follow a clear form
the ___-___ regression line is also known as the line of best fit
an individual value that falls outside the overall pattern of the relationship
value that measures the strength of the linear relationship between two quantitative variables
a ___ association is defined when above average values of the explanatory are accompanied by above average values of the response
y-hat is the ___ value of the y-variable for a given x
variable that measures the outcome of a study
variable that may help explain or influence changes in another variables
The ___ of a scatterplot indicates a positive or negative association between the variables
the _________ of a scatterplot is usually linear or non linear