Linear Regression, Estimation, And Regression Modes - HP 10bII+ User Manual

The standard deviations calculated by
standard deviations. They assume that the data is a sampling of a larger, complete set of data.
If the data constitutes the entire population, the true population standard deviations can be
calculated by pressing
Example 3
The coach has four new players on the team with heights of 193, 182, 177, and 185
centimeters and weights of 90, 81, 83, and 77 kilograms. Find the mean and population
standard deviation of both their heights and weights, then sum the y-data.
Table 12-8 Example 3
Keys
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Linear Regression, Estimation, and Regression Modes

Linear regression is a statistical method for estimation and forecasting. It is used to find a
straight line that best fits a set of x,y data. There must be at least two different x,y pairs. The
straight line provides a relationship between the x- and y-variables: y = mx + b, where m is the
slope and b is the y-intercept.
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and
(message flashes briefly,
then disappears)
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and
.
Display Description
STAT CLR Clears statistics memory.
1.00 Enters height and weight of
player 1.
2.00 Enters height and weight of
player 2.
3.00 Enters height and weight of
player 3.
4.00 Enters height and weight of
player 4.
184.25 Calculates mean of heights (x).
82.75 Displays mean of weights (y).
5.80 Calculates population standard
deviation for heights (x).
4.71 Displays population standard
deviation for weights (y).
331.00 Displays the total of the y -values.
are the sample
Statistical Calculations 121