R(t) | The cumulative fraction of the standard normal |
| distribution that lies between t and 0. R(t) = 1 – t. |
Q(t) | The cumulative fraction of the standard normal |
| distribution that is greater than t. Q(t) = 0.5– t . |
Regression Calculation
There are six regression options on the REG menu:
LIN | Linear Regression | y = a + b x |
LOG | Logarithmic Regression | y = a + b lnx |
e ^ | Exponential Regression | y = a • e bx |
PWR | Power Regression | y = a • x b |
INV | Inverse Regression | y = a + |
QUAD | Quadratic Regression | y = a + b x + c x 2 |
See Example 47~48.
1.Select a regression option on the REG menu and press [
] .
2.Press [ DATA ], select 
].
3.Enter an x value and press [ 
].
4.Enter the corresponding y value and press [ 
].
5.To enter more data, repeat from step 3.
6.Press [ 2nd ] [ STATVAR ].
7.Press [ 
] [ 
] to scroll through the results until you find the regression variables you are interested in (see table below).
8.To predict a value for x (or y) given a value for y (or x), select the x ’
(or y ’) variable, press [
] , enter the given value, and press [
] again.
Variable Meaning
a
bSlope of the regression equation.
rCorrelation coefficient.
cQuadratic regression coefficient.
x ’ | Predicted x value given a, b, and y values. |
y ’ | Predicted y value given a, b, and x values. |
9.To draw the regression graph, press [ Graph ] on the STATVAR menu. To return to the STATVAR menu, press [ 2nd ] [ STATVAR ].
