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IM1 Chapter 3

linear regression models the relationship between two variables in a data sttby producing a line of best fit
line of best fit the line that best approximates the linear relationship between two variables in a data set
linear regression equation the equation that describes the line of best fit
significant digits digits that carry meaning contributing to a numbers precision
correlation coefficient indicates how closely the data points form a straight line; the closer to 1 or -1 means the data is closer to forming a straight line; the closer to 0 means the data is far from represent a straight line
standard form of a linear equation is Ax + By = C where A, B, and C are constants and A and B are not both zero
slope-intercept form of a linear equation is y = mx + b where b is the y-intercept and m is the slope (rate of change)
literal equation equations in which variables represent specific measures
Created by: cbaumler