Given partial data about a linear trend, fits an ideal linear trend using the least squares method and/or predicts further values.
Sample Usage
TREND(B2:B10,A2:A10)
TREND(B2:B10,A2:A10,A11:A13,TRUE)
Syntax
TREND(known_data_y, [known_data_x], [new_data_x], [b])
-
known_data_y
- The array or range containing dependent (y) values that are already known, used to curve fit an ideal linear trend.-
If
known_data_y
is a two-dimensional array or range,known_data_x
must have the same dimensions or be omitted. -
If
known_data_y
is a one-dimensional array or range,known_data_x
may represent multiple independent variables in a two-dimensional array or range. I.e. ifknown_data_y
is a single row, each row inknown_data_x
is interpreted as a separated independent value, and analogously ifknown_data_y
is a single column.
-
-
known_data_x
- [ OPTIONAL -{1,2,3,...}
with same length asknown_data_y
by default ] - The values of the independent variable(s) corresponding withknown_data_y
.- If
known_data_y
is a one-dimensional array or range,known_data_x
may represent multiple independent variables in a two-dimensional array or range. I.e. ifknown_data_y
is a single row, each row inknown_data_x
is interpreted as a separated independent value, and analogously ifknown_data_y
is a single column.
- If
-
new_data_x
- [ OPTIONAL - same asknown_data_x
by default ] - The data points to return they
values for on the ideal curve fit.- The default behavior is to return the ideal curve fit values for the same
x
inputs as the existing data for comparison of knowny
values and their corresponding curve fit estimates.
- The default behavior is to return the ideal curve fit values for the same
-
b
- [ OPTIONAL -TRUE
by default ] - Given a general exponential form ofy = m*x+b
for a curve fit, calculatesb
ifTRUE
or forcesb
to be0
and only calculates them
values ifFALSE
, i.e. forces the curve fit to pass through the origin.
See Also
LOGEST
: Given partial data about an exponential growth curve, calculates various parameters about the best fit ideal exponential growth curve.
LINEST
: Given partial data about a linear trend, calculates various parameters about the ideal linear trend using the least-squares method.
GROWTH
: Given partial data about an exponential growth trend, fits an ideal exponential growth trend and/or predicts further values.