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24
Specific Features of the HP-33E
The corrected values for mean and standard deviation are now obtainable
by executing the
and
functions.
For example, suppose that you discover a recording error in the data
you have gathered on the temperatures in Fairbanks, and you find that
the Monday high and low values are actually 5 and -19. To account
for the change in mean and standard deviation values:
Keystrokes
Display
11
11.0000
17
-17.
(HE3)
6.0000
5
5.0000
19
-19.
7.0000
(¢J(®)
-21.8571
X%y
4.4286
(eJ(s]
8.6492
X%y
7.8921
Linear Regression
The incorrect y value.
The incorrect x value.
The incorrect values have
been deleted and the number
of entries is now 6 (n = 6).
The correct y value.
The correct x value.
The correct values have been
summed. The number of
entries is now 7.
The correct mean of the low
temperatures (mean of x).
The correct mean of high
temperatures (mean of y).
The correct standard de-
viation of the low temper-
atures (x values).
The correct standard de-
viation of the high temper-
atures (y values).
Linear regression is a statistical method for finding a straight line that
bestfits a set of data points, thus providing a relationship between two
variables. If there is equal time or space between data points, then this
is called a trend line. Because of the calculation technique used, linear
regression is often referred to as a least squares fit.
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