A semiconductor industry would like to find out whether worker hours are related to lot sizes. They wish to use the model to later predict the number of worker hours required for different lot sizes. The observed values are given below: 1. Lot size 20 20 30 30 40 40 50 50 60 Working hours 60 70 70 80 80 67 87 95 108 112 128 135 148 160 170 162 50 55 73 Find the estimated regression line to fit the data using the method of least squares. Interpret b, the slope of the regression line. a) b) b) Predict the number of worker hours needed for a lot of size 75.

A semiconductor industry would like to find out whether worker hours are related to lot sizes. They wish to use the model to later predict the number of worker hours required for different lot sizes. The observed values are given below: 1. Lot size 20 20 30 30 40 40 50 50 60 Working hours 60 70 70 80 80 67 87 95 108 112 128 135 148 160 170 162 50 55 73 Find the estimated regression line to fit the data using the method of least squares. Interpret b, the slope of the regression line. a) b) b) Predict the number of worker hours needed for a lot of size 75.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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