A: (In image) B: fit a quadratic regression model and state the quadratic regression equation C: Predict the mean torque for an RPM of 3,000 D: at the 0.05 level of significance, is there a significant quadratic relationship between torque and RPM? E: what is the test statistic? (F STAT = ___) F: what is the p value? G: adjusted R2 = ___ H: Test statistic (T STAT = ___)
A: (In image)
B: fit a quadratic regression model and state the
C: Predict the
D: at the 0.05 level of significance, is there a significant quadratic relationship between torque and RPM?
E: what is the test statistic? (F STAT = ___)
F: what is the p value?
G: adjusted R2 = ___
H: Test statistic (T STAT = ___)
RPM Torque
1500 99.12
1500 97.62
1500 94.34
1500 92.97
1500 98.78
2000 106.37
2000 103.48
2000 104.11
2000 107.91
2000 103.54
2500 109.22
2500 114.27
2500 113.85
2500 110.82
2500 109.96
2660 111.13
2660 115.08
2660 112.02
2660 108.73
2660 119.89
2800 116.83
2800 112.86
2800 113.45
2800 116.76
2800 118.22
2940 116.49
2940 119.19
2940 109.48
2940 116.25
2940 115.16
3500 102.56
3500 108.75
3500 112.16
3500 107.62
3500 109.16
4000 111.20
4000 106.01
4000 105.66
4000 108.28
4000 108.47
4500 101.78
4500 100.43
4500 104.81
4500 106.96
4500 104.66
5000 97.46
5000 99.99
5000 98.15
5000 96.79
5000 93.88
5225 94.88
5225 91.56
5225 96.85
5225 92.68
5225 96.01
5500 86.51
5500 91.69
5500 90.93
5500 90.81
5500 87.41
5775 77.82
5775 78.94
5775 79.88
5775 79.87
5775 79.16
6000 77.13
6000 75.16
6000 75.10
6000 74.72
6000 77.94

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