Question
A chemist was interested in examining the effects of four chemicals on a chemical process yield. Let xi , i = 1, 2, 3, 4
A chemist was interested in examining the effects of four chemicals on a chemical process yield. Letxi,i= 1, 2, 3, 4 represent the effects of the four chemicals, respectively andybe the process yield. The chemist's first instinct was to include each of the chemicals in the equation in a linear fashion.
Initial Model:y=0+1x1+2x2+3x3+4x4+
The regression equation is:= 229 + 12.5x1- 39.2x2+ 2.69x3- 33.9x4
Analysis of Variance
Source
DF
SS
MS
F
p-value
Regression
4
18969.7
4742.4
19.71
0.007
Residual Error
4
962.5
240.6
Total
8
19932.2
After the initial analysis, the chemist decided to remove chemicals 2 and 3 from the model.
Revised Model:y=0+1x1+4x4+
The regression equation is:= 122 + 6.82x1- 14.2x4
Analysis of Variance
Source
DF
SS
MS
F
p-value
Regression
2
18385.7
9192.9
35.67
0.000
Residual Error
6
1546.5
257.8
Total
8
19932.2
To test the hypothesisH0: 2= 3= 0 vs.Ha: At least one of2or3is not 0 at 5% level of significance, which critical value should be used?
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