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a positive residual indicates that the predicted value is an
underestimate
a negative residual indicates that the predicted value is an
overestimate
explicit rule for the nth term of a geometric sequence given common ratio r, and the ak term
an = ak x r^n-k
explicit rule for the nth term of an arithmetic sequence given common difference d, and the ak term
an = ak + d(n-k)
residual
actual value - predicted value
a model is considered appropriate for a data set if the residual plot
appears without pattern
error (in a model
predicted value - actual value
f and g are inverse functions if
f(g(x)) = g(f(x)) = x
if the y axis is logarithmically scaled
equal-sized increments on the y-axis represent proportional changes in the output variable
in a semi-log plot where the y-axis is logarithmically scaled, exponential functions will appear
linear
key features of y = sinx
domain: all real numbers, range: [-1, 1], period: 2Ď€, amplitude: 1, midline: y=0, passes through (0,0)
key features of y = cosx
domain: all real numbers, range: [-1, 1], period: 2Ď€, amplitude: 1, midline: y=0, passes through (0,1)
horizontal translation c units to the right if c > 0, or, c units to the left if c < 0
f (x - c)
vertical translation c units up if c > 0, or, c units down if c < 0
f (x) + c