Need help with computing this regression analysis

Any help would be appreciated!

A company has reason to believe that their post extrusion thickness measurement sensors are getting old and need to be replaced. 10 different NIST certified calibration blocks, spanning the linear measurement range, are passed through each of the 5 sensors and 50 readings are taken. Identify through regression analysis the machines that are out of spec, given a R2 of 99% as the passing criteria. Calculate the 99% confidence intervals for perfect calibration (slope =1, intercept =0). Identify the limits of calibration that satisfy the passing criteria. Include the following figures:

• Produce a figure of the all the machine calibration curves (solid lines) on one plot, with different point markers for each machines raw data.
• Use a table to communicate the slope, intercept, and R2 for these calibration curves.
• EXTRA CREDIT (5 pts): Plot a figure with the confidence intervals (dashed lines) and each machines calibration on the same figure.