Statistical Operations 11–7
Example: Population Standard Deviation.
Grandma Hinkle has four grown sons with heights of 170, 173, 174, and 180 cm.
Find the population standard deviation of their heights.
Keys: Display: Description:
{c
{
´
}
Clears the statistics registers.
170
173
174
180
)
Enters data. Four data points
accumulated.
|
{
σ
º
}
UºU¸
σ
º
σ
¸
)
Calculates the population
standard deviation.
Linear Regression
Linear regression, L.R. (also called linear estimation) is a statistical method for
finding a straight line that best fits a set of x,y–data.
Note
To avoid a
!!
message, enter your data before
executing any of the functions in the L.R. menu.
L.R. (Linear Regression) Menu
Menu Key Description
{
º
ˆ
} Estimates (predicts) x for a given hypothetical value of y,
based on the line calculated to fit the data.
{
¸
ˆ
} Estimates (predicts) y for a given hypothetical value of x,
based on the line calculated to fit the data.
{
T
} Correlation coefficient for the (x, y) data. The correlation
coefficient is a number in the range –1 through +1 that
measures how closely the calculated line fits the data.
{
P
} Slope of the calculated line.
{
E
} y–intercept of the calculated line.
