100 g

%@

 

)

36.2g &@ )

97.5g %@ )

35.1g &@ )

95.5g %@ )

34.6g &@ )

94 g

%@

 

)

XR

/

 

) 

g/

)

g/ ) 

g%@

)

37 g

&@

 

)  

101 g

%@

 

 ) 

Example 2:

Enters y–value of data pair.

Enters x–value of data pair.

Enters y–value of data pair.

Enters x–value of data pair.

Enters y–value of data pair.

Enters x–value of data pair.

Enters y–value of data pair.

Calculates the correlation coefficient.

Calculates regression coefficient B.

Calculates regression coefficient

M.

Prompts for hypothetical x–value.

Stores 37 in X and calculates yˆ .

Stores 101 in Y and calculates

xˆ .

Repeat example 1 (using the same data) for logarithmic, exponential, and power curve fits. The table below gives you the starting execution label and the results (the correlation and regression coefficients and the x– and y– estimates) for each type of curve. You will need to reenter the data values each time you run the program for a different curve fit.

16–10Statistics Programs