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Twelve workers at a production line were asked to take a special three-day intensive course to improve their productivity. At the beginning and again at the end of the course, they were given a particular task to see the improvement in their productivity. Based on the data recorded for the two variables Number of years of experience X and Improvement (number of units per minute) Y, the following sums were calculated.   xi = 96,      yi = 132, xi2 = 892,   yi2 =1510, xiyi= 1110     Consider estimating a simple linear regression model of the form   y = b1 + b2x + e   Q2. Sample mean of X, X, is   96 12 8 11   Q3. Sample Variance of Y, SY2, is   5.72 11.27 5.27 4.91   Q4. Sample correlation between X and Y, Corr(X, Y), is   0.46 0.50 0.64 -0.64

Twelve workers at a production line were asked to take a special three-day intensive course to improve their productivity. At the beginning and again at the end of the course, they were given a particular task to see the improvement in their productivity. Based on the data recorded for the two variables Number of years of experience X and Improvement (number of units per minute) Y, the following sums were calculated.   xi = 96,      yi = 132, xi2 = 892,   yi2 =1510, xiyi= 1110     Consider estimating a simple linear regression model of the form   y = b1 + b2x + e   Q2. Sample mean of X, X, is   96 12 8 11   Q3. Sample Variance of Y, SY2, is   5.72 11.27 5.27 4.91   Q4. Sample correlation between X and Y, Corr(X, Y), is   0.46 0.50 0.64 -0.64

MATLAB: An Introduction with Applications
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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Twelve workers at a production line were asked to take a special three-day intensive course to improve their productivity. At the beginning and again at the end of the course, they were given a particular task to see the improvement in their productivity. Based on the data recorded for the two variables Number of years of experience X and Improvement (number of units per minute) Y, the following sums were calculated.

 

xi = 96,      yi = 132, xi2 = 892,   yi2 =1510, xiyi= 1110

 

 

Consider estimating a simple linear regression model of the form

 

y = b1 + b2x + e

 

Q2. Sample mean of X, X, is

 

  1. 96
  2. 12
  3. 8
  4. 11

 

Q3. Sample Variance of Y, SY2, is

 

  1. 5.72
  2. 11.27
  3. 5.27
  4. 4.91

 

Q4. Sample correlation between X and Y, Corr(X, Y), is

 

  1. 0.46
  2. 0.50
  3. 0.64
  4. -0.64
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