3. (Abrasion of quenched and tempered steel S620) A group of students are required to conduct an experiment on a particular type of steel S620. The table below shows the data obtained, where x is the sliding distance in km and y is the wear volume in mm. |T| 1.1 | 3.2 | 3.4 | 4.5 | 5.6 y 40 | 65 | 120 | 150 | 190 | (a) Use least squares linear regression to find the best-fit line (regression line). (b) Plot the data points and regression line on the same Cartesian plane.

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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3. (Abrasion of quenched and tempered steel S620) A group of students are required to
conduct an experiment on a particular type of steel S620. The table below shows the data
obtained, where x is the sliding distance in km and y is the wear volume in mm.
|T| 1.1 | 3.2 | 3.4 | 4.5 | 5.6
y 40 | 65 | 120 | 150 | 190 |
(a) Use least squares linear regression to find the best-fit line (regression line).
(b) Plot the data points and regression line on the same Cartesian plane.
Transcribed Image Text:3. (Abrasion of quenched and tempered steel S620) A group of students are required to conduct an experiment on a particular type of steel S620. The table below shows the data obtained, where x is the sliding distance in km and y is the wear volume in mm. |T| 1.1 | 3.2 | 3.4 | 4.5 | 5.6 y 40 | 65 | 120 | 150 | 190 | (a) Use least squares linear regression to find the best-fit line (regression line). (b) Plot the data points and regression line on the same Cartesian plane.
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