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Key Terms

Key Terms

correlation coefficient
a value, r, r, between –1 and 1 that indicates the degree of linear correlation of variables, or how closely a regression line fits a data set.
decreasing linear function
a function with a negative slope: If f(x)=mx+b, then m<0 f(x)=mx+b, then m<0
extrapolation
predicting a value outside the domain and range of the data
horizontal line
a line defined by f(x)=b, f(x)=b, where b b is a real number. The slope of a horizontal line is 0.
increasing linear function
a function with a positive slope: If f(x)=mx+b, then m>0. f(x)=mx+b, then m>0.
interpolation
predicting a value inside the domain and range of the data
least squares regression
a statistical technique for fitting a line to data in a way that minimizes the differences between the line and data values
linear function
a function with a constant rate of change that is a polynomial of degree 1, and whose graph is a straight line
model breakdown
when a model no longer applies after a certain point
parallel lines
two or more lines with the same slope
perpendicular lines
two lines that intersect at right angles and have slopes that are negative reciprocals of each other
point-slope form
the equation for a line that represents a linear function of the form y− y 1 =m( x− x 1 ) y− y 1 =m( x− x 1 )
slope
the ratio of the change in output values to the change in input values; a measure of the steepness of a line
slope-intercept form
the equation for a line that represents a linear function in the form f(x)=mx+b f(x)=mx+b
vertical line
a line defined by x=a, x=a, where a a is a real number. The slope of a vertical line is undefined.