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mpiotro2
Calcite | Level 5

I'm having an issuing adding a "lackfit" statement to a proc regression model... I keep getting a "0" answer for my Pure Error Sum of Squares value, which I don't think is correct. If my data set has 3 X variables, is the lackfit statement still functional? 

 

HW4 - ANOVA Table.PNG

HW4 - Parameter Estimates.PNG

ObsCITYYX1X2X3
1111.258716.56.2
2213.464320.56.4
3340.763526.39.3
445.369216.55.3
5524.8124819.27.3
6612.764316.55.9
7720.9196420.26.4
8835.7153121.37.6
998.771317.24.9
10109.674914.36.4
111114.5789518.16
121226.976223.17.4
131315.7279319.15.8
141436.274124.78.6
151518.162518.66.5
161628.985424.98.3
171714.971617.96.7
181825.892122.48.6
191921.759520.28.4
202025.7335316.96.7
1 REPLY 1
PaigeMiller
Diamond | Level 26

Lack-of-fit/pure error can only be computed if you have one or more exact replicates of your points (among the x-variables). You have zero exact replicates of your data points.


So SAS is giving the correct output.

--
Paige Miller

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