In: Statistics and Probability
Identify ALL of the factors that are significant at a level of 1%.
Factor A | Factor B | Factor C | Factor D | Factor E | Factor F | Result |
130 | 120.3 | 125 | 58.4 | 110 | 106.7 | 2336.8 |
125.4 | 93 | 147.5 | 145.4 | 109.5 | 103.8 | 2631.1 |
89.1 | 78.6 | 73.9 | 101.4 | 59.1 | 104.5 | 1788.3 |
139 | 56.5 | 85 | 143 | 101.8 | 99.2 | 1881 |
115.9 | 112 | 105.6 | 94.5 | 133.4 | 82.7 | 2182.1 |
148.6 | 145.8 | 83.8 | 122.6 | 125.7 | 130.3 | 2390.4 |
140.1 | 69.5 | 97.6 | 53.2 | 87.5 | 116.1 | 1823 |
67.9 | 103.1 | 130.8 | 67.6 | 141 | 81.3 | 2258.5 |
139.8 | 130.5 | 92.9 | 146.9 | 92.3 | 138.3 | 2475.3 |
81.8 | 138.8 | 147.8 | 117.9 | 97.9 | 59.7 | 2699.2 |
137.9 | 140.4 | 123.8 | 90.4 | 136.3 | 124.7 | 2592.4 |
134.7 | 148.3 | 142.8 | 99.9 | 115.8 | 90.3 | 2728.5 |
148.4 | 118.2 | 96.3 | 62.5 | 57.6 | 120.9 | 2126.1 |
77.5 | 127 | 109.8 | 78.9 | 105.6 | 105.4 | 2306.1 |
148.7 | 60.3 | 60.2 | 52 | 51.1 | 119.6 | 1452.3 |
Using Excel
data -> data analysis -> regression
SUMMARY OUTPUT | |||||
Regression Statistics | |||||
Multiple R | 1.0000 | ||||
R Square | 1.0000 | ||||
Adjusted R Square | 0.9999 | ||||
Standard Error | 3.0148 | ||||
Observations | 15 | ||||
ANOVA | |||||
df | SS | MS | F | Significance F | |
Regression | 6 | 1961899.8850 | 326983.3142 | 35976.2050 | 0.0000 |
Residual | 8 | 72.7110 | 9.0889 | ||
Total | 14 | 1961972.5960 | |||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | |
Intercept | 136.3835 | 8.1234 | 16.7889 | 0.0000 | 117.6508 |
Factor A | -0.0174 | 0.0391 | -0.4461 | 0.6673 | -0.1075 |
Factor B | 5.6549 | 0.0338 | 167.4285 | 0.0000 | 5.5770 |
Factor C | 8.4379 | 0.0477 | 176.8953 | 0.0000 | 8.3280 |
Factor D | 3.0803 | 0.0246 | 124.9727 | 0.0000 | 3.0235 |
Factor E | 0.1588 | 0.0365 | 4.3540 | 0.0024 | 0.0747 |
Factor F | 2.5361 | 0.0634 | 40.0126 | 0.0000 | 2.3899 |
if p-value < alpha (0.01) , the factor is significant otherwise not significant
here except Factor A , all other factors are significant
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