HP 35s User Manual page 174

Menu Key
 ˆ
 ˆ



To find an estimated value for x (or y), key in a given hypothetical value for y
(or x), then press
To find the values that define the line that best fits your data, press
followed by , , or .
Example: Curve Fitting.
The yield of a new variety of rice depends on its rate of fertilization with nitrogen.
For the following data, determine the linear relationship: the correlation coefficient,
the slope, and the y–intercept.
X, Nitrogen Applied
(kg per hectare)
Y, Grain Yield
(metric tons per hectare)
Keys:
 
()
12-8
Statistical Operations
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.
 ˆ

( ) (or
0.00
4.63
Display:
Description
Õ
(
20.00 40.00
5.78 6.61
Clears all previous statistical
data.
 ˆ
).
 
60.00 80.00
7.21 7.78
Description: