mws_ind_reg_txt_straightline_examples

mws_ind_reg_txt_straightline_examples - 63.9 7 1 i 260 8.91...

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06.03.1 Chapter 06.03 Linear Regression-More Examples Industrial Engineering Example 1 As machines are used over long periods of time, the output product can get off target. Below is the average value of how much off target a product is getting manufactured as a function of machine use. Table 1 Off target value as a function of machine use. Hours of Machine Use, t 30 33 34 35 39 44 45 Millimeters Off Target, h 1.10 1.21 1.25 1.23 1.30 1.40 1.42 Regress the data to t a a h 1 0 . Find when the product will be 2 mm off target. Solution Table 2 shows the summations needed for the calculation of the constants of the regression model. Table 2 Tabulation of data for calculation of needed summations. I t h 2 t h t Hours Millimeters 2 Hours Millimeter-Hour 1 30 1.10 900 33 2 33 1.21 1089 39.93 3 34 1.25 1156 42.50 4 35 1.23 1225 43.05 5 39 1.30 1521 50.70 6 44 1.40 1936 61.6 7 45 1.42 2025
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Unformatted text preview: 63.9 7 1 i 260 8.91 9852 334.68 06.03.2 Chapter 06.03 7 n 2 7 1 7 1 2 7 1 7 1 7 1 1 i i i i i i i i i i i t t n h t h t n a 2 260 9852 7 91 . 8 260 68 . 334 7 0.019179 mm-h n h h i i _ 7 1 7 91 8 . 2729 . 1 mm n t t i i _ 7 1 7 260 143 . 37 h _ _ t a h a 1 143 . 37 019179 . 2729 . 1 56050 . mm-h Linear Regression-More Examples: Industrial Engineering 06.03.3 t h 019179 . 56050 . Figure 1 Linear regression of hours of use vs. millimeters off target. Solving for mm 2 h , the regression model is t h 019179 . 56050 . t 019179 . 056050 2 019179 . 56050 . 2 t 056 . 75 t hours...
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This note was uploaded on 06/12/2011 for the course EML 3041 taught by Professor Kaw,a during the Spring '08 term at University of South Florida.

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mws_ind_reg_txt_straightline_examples - 63.9 7 1 i 260 8.91...

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