Multi-Linear Regression Preview

HardHeat=a0+a1·Wpc1+a2·Wpc2+a3·Wpc3+a4·Wpc4
Data-Table
 Wpc1Wpc2Wpc3Wpc4HardHeat
172666078.7
2129155274.3
31156820104.3
4113184787.6
575263395.9
61155922109.2
7371176102.7
8131224472.5
9254182293.1
102147426115.9
11140233483.8
121166912113.3
131068812109.4

Program validated. Ready to Solve.
# Example 31(a) - Multi-Linear Regression
# Heat of Hardening
# Verified Solution: a0=60.8989, a1=1.56273, a2=0.526503, a3=0.112545 , a4=-0.126618
# Ref: Comput Appl Eng Educ 17: 285, 1998

[
Wpc1 Wpc2 Wpc3 Wpc4 HardHeat
7 26 6 60 78.7
1 29 15 52 74.3
11 56 8 20 104.3
11 31 8 47 87.6
7 52 6 33 95.9
11 55 9 22 109.2
3 71 17 6 102.7
1 31 22 44 72.5
2 54 18 22 93.1
21 47 4 26 115.9
1 40 23 34 83.8
11 66 9 12 113.3
10 68 8 12 109.4
]

# mlinfit [...] [origin]
mlinfit Wpc1 Wpc2 Wpc3 Wpc4 HardHeat

Regression Model

y = a0 + a1 x1 + a2 x2 + a3 x3 + a4 x4

where y and xi map to:
HardHeat = a0 + a1 Wpc1 + a2 Wpc2 + a3 Wpc3 + a4 Wpc4

VariableValue95% confidence
a060.898935161.617
a11.56272941.71780
a20.526502801.66940
a30.112545191.74072
a4-0.126618131.63541

R²adjRmsdVariance
0.9823240.9734870.5322925.98544

Multilinear Regression Fit
Chart
Multilinear Regression HardHeat Residuals
Chart

Data Table

 Wpc1Wpc2Wpc3Wpc4HardHeatCalculated HardHeatResidual %
172666078.778.6052970.1203%
2129155274.372.8342801.973%
31156820104.3105.94111-1.573%
4113184787.689.359854-2.009%
575263395.995.7130590.1949%
61155922109.2105.273923.595%
7371176102.7104.12238-1.385%
8131224472.575.688047-4.397%
9254182293.191.6957591.508%
102147426115.9115.619990.2416%
11140233483.881.8052992.380%
121166912113.3112.331630.8547%
131068812109.4111.709360.000%

Settings and Hints

 Name/SourceValueType
1 Independent variables 4 Setting
2 Sample data 13 Setting
3 Version 7.0.73 Setting
4 #@report_fix_digits = 8 Default (integer)
5 #@chart_size = 428,300 Default (array)
6 #@report_show_source = true Default (boolean)
7 #@report_show_header = false Default (boolean)
8 #@report_show_settings = true Default (boolean)
9 #@report_show_charts = true Default (boolean)
10 #@report_show_data_points = true Default (boolean)

Messages

 SeverityDescription
1Info-Infor- 5 Known vectors variables (Wpc1, Wpc2, Wpc3, Wpc4, HardHeat)
2Info-Infor- 0 Explicit expressions
3Info-Infor- Regression command: mlinfit Wpc1 Wpc2 Wpc3 Wpc4 HardHeat

Source

# Example 31(a) - Multi-Linear Regression
# Heat of Hardening
# Verified Solution: a0=60.8989, a1=1.56273, a2=0.526503, a3=0.112545 , a4=-0.126618
# Ref: Comput Appl Eng Educ 17: 285, 1998

[
Wpc1 Wpc2 Wpc3 Wpc4 HardHeat
7 26 6 60 78.7
1 29 15 52 74.3
11 56 8 20 104.3
11 31 8 47 87.6
7 52 6 33 95.9
11 55 9 22 109.2
3 71 17 6 102.7
1 31 22 44 72.5
2 54 18 22 93.1
21 47 4 26 115.9
1 40 23 34 83.8
11 66 9 12 113.3
10 68 8 12 109.4
]

# mlinfit [...] [origin]
mlinfit Wpc1 Wpc2 Wpc3 Wpc4 HardHeat