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Using Blackline Master 9.2
To find the best-fitting quadratic curve (y = ax
2
+ bx + c) for the data, press
STAT , touch D REG, double touch 04 Rg_x
2
, and press ENTER . The following
values for the regression will appear:
To view the overlay of the regression curve and the scatter diagram, press Y=
CL VARS , touch H STAT, press ENTER , touch B REGEQN, double touch
1 RegEqn, and press GRAPH . The following overlay will be displayed:
Notice, the r
2
value for the quadratic regression model is about .9337, whereas
the r
2
value for the exponential regression model was .9786. The exponential
regression model (with the r
2
value closer to 1) is considered the better-fitting
model. The exponential regression model even fits better than the linear model
with an r
2
value of .8553. The students should continue this analysis with the
remaining regression models.
Other Regressions and Model of “Best Fit”/STATISTICS USING THE SHARP EL-9600 47
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