22. Is thickness a significant predictor of tensile strength? Use a = 0.1 and the p-value method.

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Use the MLR JMP output on The 2nd attached pic for problems 22

22. Is thickness a significant predictor of tensile strength? Use a = 0.1 and the p-value method.
Transcribed Image Text:22. Is thickness a significant predictor of tensile strength? Use a = 0.1 and the p-value method.
JMP OUTPUT
SLR with Thickness
Analysis of Variance
Sum of
Source
DF
Squares Mean Square FRatio
4.301745
Model
1
4.30175
0.9775
4.40088 Prob > F
0.3359
Error
18 79.215755
19 83.517500
C. Total
Parameter Estimates
Term
Estimate Std Error t Ratio Prob> |t|
Intercept 51.366447
Thickness -0.316596 0.320223
<.0001
0.3359
2.91203
17.64
-0.99
MLR
Summary of Fit
RSquare
RSquare Adj
Root Mean Square Error
Mean of Response
Observations (or Sum Wgts)
0.86221
0.845999
0.822761
48.525
20
Analysis of Variance
Sum of
F Ratio
Source
Model
Error
DF
Squares Mean Square
2 72.009591
11.507909
36.0048 53.1879
0.6769 Prob >F
<.0001
17
C Total
19
83.517500
Parameter Estimates
Term
Estimate Std Error t Ratio Prob> It|
Intercept
Manganese 3.3201132 0.331976
26.640804 2.723354
9.78
<.0001*
<.0001
0.0036
10.00
Thickness
-0.4249 0.126056
-3.37
Transcribed Image Text:JMP OUTPUT SLR with Thickness Analysis of Variance Sum of Source DF Squares Mean Square FRatio 4.301745 Model 1 4.30175 0.9775 4.40088 Prob > F 0.3359 Error 18 79.215755 19 83.517500 C. Total Parameter Estimates Term Estimate Std Error t Ratio Prob> |t| Intercept 51.366447 Thickness -0.316596 0.320223 <.0001 0.3359 2.91203 17.64 -0.99 MLR Summary of Fit RSquare RSquare Adj Root Mean Square Error Mean of Response Observations (or Sum Wgts) 0.86221 0.845999 0.822761 48.525 20 Analysis of Variance Sum of F Ratio Source Model Error DF Squares Mean Square 2 72.009591 11.507909 36.0048 53.1879 0.6769 Prob >F <.0001 17 C Total 19 83.517500 Parameter Estimates Term Estimate Std Error t Ratio Prob> It| Intercept Manganese 3.3201132 0.331976 26.640804 2.723354 9.78 <.0001* <.0001 0.0036 10.00 Thickness -0.4249 0.126056 -3.37
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