I'm a bit confused on how to "discuss the relationship" for part a and "Interpret" for part c. I also want to know how to start part E; which test (if any) for I need to use? 1. A manufacturing company is interested in predicting the number of defects that will be produced eachhour on the assembly line. The managers believe that there is a relationship between the defect rate andthe production rate per hour. The managers believe that they can use production rate to predict thenumber of defects. The following data were collected for 8 randomly selected hours.Production rate/h4045203540503050Defects231346.а.Set up a scatter diagram, and discuss what if any relationship appears to be presentbetween two variables.|b. Use the least-squares method to predict the number of defects when production rate is 55.c. Interpret the meaning of the regression coefficients in this problem.d. Compute the standard error of the estimate.e. At a significance level of .01 can you conclude that production rate is a good predictor ofthe number defects?f. Find a 98% confidence interval estimate number of defects when production rate is 55.

The independent variable is Production rate/h. The dependent variable is Defects. This is simple…

1. A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate to predict the number of defects. The following data were collected for 8 randomly selected hours. Defects Production rate/h 40 45 20 35 40 50 30 50 Set up a scatter diagram, and discuss what if any relationship appears to be present between two variables. а. | b. Use the least-squares method to predict the number of defects when production rate is 55. c. Interpret the meaning of the regression coefficients in this problem. d. Compute the standard error of the estimate. e. At a significance level of .01 can you conclude that production rate is a good predictor of the number defects? f. Find a 98% confidence interval estimate number of defects when production rate is 55. 231N354 6

1. A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate to predict the number of defects. The following data were collected for 8 randomly selected hours. Defects Production rate/h 40 45 20 35 40 50 30 50 Set up a scatter diagram, and discuss what if any relationship appears to be present between two variables. а. | b. Use the least-squares method to predict the number of defects when production rate is 55. c. Interpret the meaning of the regression coefficients in this problem. d. Compute the standard error of the estimate. e. At a significance level of .01 can you conclude that production rate is a good predictor of the number defects? f. Find a 98% confidence interval estimate number of defects when production rate is 55. 231N354 6

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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Question

100%

I'm a bit confused on how to "discuss the relationship" for part a and "

Interpret" for part c.

I also want to know how to start part E; which test (if any) for I need to use?

1. A manufacturing company is interested in predicting the number of defects that will be produced each
hour on the assembly line. The managers believe that there is a relationship between the defect rate and
the production rate per hour. The managers believe that they can use production rate to predict the
number of defects. The following data were collected for 8 randomly selected hours.
Production rate/h
40
45
20
35
40
50
30
50
Defects
2
3
1
3
4
6.
а.
Set up a scatter diagram, and discuss what if any relationship appears to be present
between two variables.
|
b. Use the least-squares method to predict the number of defects when production rate is 55.
c. Interpret the meaning of the regression coefficients in this problem.
d. Compute the standard error of the estimate.
e. At a significance level of .01 can you conclude that production rate is a good predictor of
the number defects?
f. Find a 98% confidence interval estimate number of defects when production rate is 55.

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