Tham khảo tài liệu 'engineering statistics handbook episode 6 part 4', kỹ thuật - công nghệ, cơ khí - chế tạo máy phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả | . Work This Example Yourself 3. Weighted linear fit of field versus 3. The weighted fit was carried out. lab. Plot predicted values with The plot of the predicted values the data. overlaid with the data suggests 4. Generate a 6-plot for model validation. 5. Plot the residuals against the predictor variable. that the variances arehomogeneous. 4. The 6-plot shows that the model assumptions are satisfied. 5. The detailed residual plot suggests the homogeneous variances for the errors more clearly. 5. Compare the fits. 1. Plot predicted values from each 1. The transformed and weighted fits of the three models with the generate only slightly different data. predicted values but the model assumptions are not violated. . IHOME I TOOLS AI OS search I back next 5 EMATECH http div898 handbook pmd section6 3 of 3 5 1 2006 10 22 54 AM . Background and Data ENGINEERING STATISTICS HANDBOOK hW tools raids lỉEÂtCH BACK Nixf 4. Process Modeling . Case Studies in Process Modeling . Thermal Expansion of Copper Case Study . Background and Data Description of the Data The response variable for this data set is the coefficient of thermal expansion for copper. The predictor variable is temperature in degrees kelvin. There were 236 data points collected. These data were provided by the NIST scientist Thomas Hahn. Resulting Data Coefficient of Thermal Expansion of Copper Temperature Degrees Kelvin http div898 handbook pmd section6 1 of 6 5 1 2006 10 22 55 AM
