•See the table at the beginning of this section of the manual for the regression formulas.

•K, K1, K2 and L are not variables. They are commands of the type that take an argument immediately before them. See “Calculating Estimated Values” for more information.

Minimum Value: minX*, minY, Maximum Value: maxX*, maxY (STAT) (MinMax) to 

Note: While single-variable statistical calculation is selected, you can input the functions and commands for performing normal distribution calculation from the menu that appears when you perform the following key operation: (STAT) (Distr). See “Performing Normal Distribution Calculations” for details.

2 To input the single-variable data x = {1, 2, 2, 3, 3, 3, 4, 4, 5}, using the FREQ column to specify the number of repeats for each items ({xn; freqn} = {1;1, 2;2, 3;3, 4;2, 5;1}), and calculate the mean and population standard deviation.

(SETUP)A(STAT)(ON)

(STAT)(1-VAR)

STAT

 

1 2 3 4 5 AC

 

1 2 3 2 

 

(STAT)(Var)(M) (STAT)(Var)(xΣn)

Results: Mean: 3 Population Standard Deviation: 1.154700538

3 To calculate the linear regression and logarithmic regression correlation coefficients for the following paired-variable data and determine the regression formula for the strongest correlation: (x, y)

=(20, 3150), (110, 7310), (200, 8800), (290, 9310). Specify Fix 3 (three decimal places) for results.

(SETUP)A(STAT)(OFF)

(SETUP)(Fix)

(STAT)(A+BX) STAT FIX

20 110 200 290 AC

3150 7310 8800 9310

(STAT)(Reg)(r)

(STAT)(Type)(In X) (STAT)(Reg)(r)

(STAT)(Reg)(A) (STAT)(Reg)(B)

Results: Linear Regression Correlation Coefficient: 0.923 Logarithmic Regression Correlation Coefficient: 0.998 Logarithmic Regression Formula: y = –3857.984 + 2357.532lnx

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