An article in Electronic Packaging and Production (2002, vol.42) considered the effect of X-ray inspection of integratedcircuits. The radiation dose (rads) were studied as a function ofcurrent (in milliamps) and exposure (in minutes).The data areinexcel file uploaded to Moodle. Name of the file is “Assignment 4Dataâ€. Use a software (preferable MINITAB) to answer the followingquestions.
Part 1. Perform simple linear regression analysis with thevariables, radiation dose and exposure time to answer the followingquestions. (Include the output in your pdf file.)
a) Determine response variable and find the fitted line.(Estimated regression line)
b) Predict the radiation dose when exposure time is 15seconds.
c) Estimate the standard deviation of radiation dose.
d) What percentage of variability in radiation dose can beexplained by the
exposure time?
e) Obtain 95% CI for the true slope of regression line.
*****Can you solve the problem above using Minitab and show thesteps please?
| X-ray | Inspection | Data |
| | | |
Rads | mA | Exposure Time | |
7,4 | 10 | 0,25 | |
14,8 | 10 | 0,5 | |
29,6 | 10 | 1 | |
59,2 | 10 | 2 | |
88,8 | 10 | 3 | |
296 | 10 | 10 | |
444 | 10 | 15 | |
592 | 10 | 20 | |
11,1 | 15 | 0,25 | |
22,2 | 15 | 0,5 | |
44,4 | 15 | 1 | |
88,8 | 15 | 2 | |
133,2 | 15 | 3 | |
444 | 15 | 10 | |
666 | 15 | 15 | |
888 | 15 | 20 | |
14,8 | 20 | 0,25 | |
29,6 | 20 | 0,5 | |
59,2 | 20 | 1 | |
118,4 | 20 | 2 | |
177,6 | 20 | 3 | |
592 | 20 | 10 | |
888 | 20 | 15 | |
1184 | 20 | 20 | |
22,2 | 30 | 0,25 | |
44,4 | 30 | 0,5 | |
88,8 | 30 | 1 | |
177,6 | 30 | 2 | |
266,4 | 30 | 3 | |
888 | 30 | 10 | |
1332 | 30 | 15 | |
1776 | 30 | 20 | |
29,6 | 40 | 0,25 | |
59,2 | 40 | 0,5 | |
118,4 | 40 | 1 | |
236,8 | 40 | 2 | |
355,2 | 40 | 3 | |
1184 | 40 | 10 | |
1776 | 40 | 15 | |
2368 | 40 | 20 | |
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