Linear Regression - HP -32S Owner's Manual

"staTI {s} {sx}
2.5808 Calculates standard
deviation.
Example: Weighted Mean. A manufacturing company purchases a
certain part four times a year. Last year's purchases were:
Price per Part (x) $4.25 $4.60 $4.70 $4.10
Number of Parts (y) 250 800 900 1000
Find the mean price paid for this part. Remember to enter y, the
weight (frequency), before x, the price.
Keys:
CLEAR | {2}
250 IENTER I 4.25 (j+)
800 I ENTER I 4.6 f2+|
900 IENTER I 4.7 (j+)
1000 I ENTER I 4.1 f2+|
HrSTATl {*,?} {*«}
Display: Description:
Clears the statistics
registers.
1.0000
2.0000
3.0000
4.0000
Enters the data and
their weights.
4.4314
Calculates mean price
weighted for quantity
purchased.
Linear Regression
linear regression (also called linear estimation) is a statistical method
for finding a straight line that best fits a set of z,y-data. Be sure to
enter your data values before using these functions.
• To find an estimated value for x (or y), first key in a given hypo
thetical value for y (or x), then press Hi stat I {L.R.} {£} (or
{*})•
• To find the values that define the line that best fits your data, press
dl stat I {L.R.} followed {r}, {m}, or {b}.
158 11: Statistical Operations