Part 1 - Confirming the Problem 1. Compare the original PX measurements with the PX recheck...

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Part 1 - Confirming the Problem 1. Compare the original PX measurements with the PX recheck measurements. Does there appear to be a drift (change) in PX for these batches over time? Why or why not? 2. Using the original spec limit of 150-210 PSI, what percent of these batches would be rejected by the customer based on their PX recheck values? 3. We need to identify which variable(s) may be correlated to this increase in PX. Read the descriptions (previous page) of each variable recorded in the spreadsheet. Choose and list two of the variables that you think would be strongly related to each other, and two variables that you think would not be related at all. Strong relationship between: No relationship between: Investigate your choices from part (a) by computing the correlation coefficient (r) and/or coefficient of determination (r2). Do these statistics confirm your thoughts? Why or why not? Modelin DY Drift (Chancel Part 1 - Confirming the Problem 1. Compare the original PX measurements with the PX recheck measurements. Does there appear to be a drift (change) in PX for these batches over time? Why or why not? 2. Using the original spec limit of 150-210 PSI, what percent of these batches would be rejected by the customer based on their PX recheck values? 3. We need to identify which variable(s) may be correlated to this increase in PX. Read the descriptions (previous page) of each variable recorded in the spreadsheet. Choose and list two of the variables that you think would be strongly related to each other, and two variables that you think would not be related at all. Strong relationship between: No relationship between: Investigate your choices from part (a) by computing the correlation coefficient (r) and/or coefficient of determination (r2). Do these statistics confirm your thoughts? Why or why not? Modelin DY Drift (Chancel