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Data X(weight) Data Y(Thickness) 62.2 2.60 62.2 2.60 62.1 2.59 62.0 2.61 62.0 2.60 62.1 2.60 62.4 2.61 62.2 2.61 62.4 2.61 62.2 2.61 62.2
Data X(weight) | Data Y(Thickness) |
62.2 | 2.60 |
62.2 | 2.60 |
62.1 | 2.59 |
62.0 | 2.61 |
62.0 | 2.60 |
62.1 | 2.60 |
62.4 | 2.61 |
62.2 | 2.61 |
62.4 | 2.61 |
62.2 | 2.61 |
62.2 | 2.60 |
62.0 | 2.59 |
62.0 | 2.61 |
62.3 | 2.60 |
62.2 | 2.60 |
62.1 | 2.59 |
62.4 | 2.61 |
62.2 | 2.60 |
62.4 | 2.60 |
62.0 | 2.59 |
1243.6 | 52.03 |
- Prepare a Multiple Linear Regression Analysis.
- Determine if the selected independent variable is affecting the depending variable.
- Useanalphaof5%forANOVAandDeterminationCoefficient.
- UseWordshowingtheresultsofMinitab.
- ForeachMinitabresulttheteamneedstowriteaparagraphexplainingtheresultsanddatatendenciesthatcanbeinferredinthereport.
II. Exercise
Using the table showed above:
- Prepare a Multiple Single Factor Design.
- Determine if the selected independent variable is affecting the depending variable.
- Use an alpha of 5% for ANOVA and Correlation Coefficient.
- UseWordshowingtheresultsofMinitab.
- ForeachMinitabresulttheteamneedstowriteaparagraphexplainingtheresultsanddatatendenciesthatcanbeinferredinthereport.
III. Exercise
- Prepare a Two Factor Design.
- Each member of the team needs to collect samples to prepare a 3 by 3 matrix related to the same output variable and determine if the selected independent variables are affecting the depending variable.
- Use an alpha of 10% for ANOVA and Correlation Coefficient.
- Use Word showing the results of Minitab.
- The members of the team can use the same minitab program with a different set of output variables.
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