Assume that the drift in PX follows a linear pattern. In a new spreadsheet column, calculate the total drift (PSI) by computing the difference between the initial PX and the rechecked PX for each batch in the sample. In a second column, divide each difference by the number of days since manufacture to calculate the average drift per day (PSI per day) for each batch. Scientists and engineers hypothesize that an undesirable water reaction is causing the batches' PX values to drift (change). Investigate the relationship between the total batch water content (independent) and drift per day (dependent). To do this, you should: a. Create a scatterplot comparing total batch water content (horizontal, %H20) and drift per day (vertical, Units/day). b. Determine a linear regression equation. Dene each variable in the equation. c. Determine the correlation coefcient (r) for the model. How strong is the relationship between water content and drift per day