Linear Regression - HP 33s User Manual

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:
¹ ¡
{  }
/ /
170 173
/ /
174 180
º +
{  }

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.
To avoid a   message, enter your data before
Note
executing any of the functions in the L.R. menu.
Menu Key
 ˆ
{ }
 ˆ
{ }
{  }
{  }
{  }
Display:



  

L.R. (Linear Regression) Menu
Estimates (predicts) x for a given hypothetical value of y ,
based on the line calculated to fit the data.
Estimates (predicts) y for a given hypothetical value of x ,
based on the line calculated to fit the data.
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.
Slope of the calculated line.
y –intercept of the calculated line.
Description:
Clears the statistics registers.
Enters data. Four data points
accumulated.
Calculates the population
standard deviation.
Description
Statistical Operations
11–7