na particular manufacturing process. the useful life of a cutting tool is linearly related to the speed at which the tool is operated. The data in the accompanying table were derived from life tests for the two different brands of cuting tools currently used in the production process. For which b eel more confident using the least squares line to predict useful life for a given cutting speed? Click the icon to view the data. Since the standard deviation (s= for Brand B is V than the standard deviation for Brand A (s=). Brand B would be a V predictor for the useful life for a given cutting speed. Type an integer or a decimal rounded to three decimal places.) Data Table Useful Life (hours) Cutting Speed (meters per minute) Brand A Brand B 300 47
na particular manufacturing process. the useful life of a cutting tool is linearly related to the speed at which the tool is operated. The data in the accompanying table were derived from life tests for the two different brands of cuting tools currently used in the production process. For which b eel more confident using the least squares line to predict useful life for a given cutting speed? Click the icon to view the data. Since the standard deviation (s= for Brand B is V than the standard deviation for Brand A (s=). Brand B would be a V predictor for the useful life for a given cutting speed. Type an integer or a decimal rounded to three decimal places.) Data Table Useful Life (hours) Cutting Speed (meters per minute) Brand A Brand B 300 47
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Question
![In a particular manufacturing process, the useful life of a cutting tool is linearly related to the speed at which the tool is operated. The data in the accompanying table were derived from life tests for the two different brands of cutting tools currently used in the production process. For which brand would you
feel more confident using the least squares line to predict useful life for a given cutting speed?
E Click the icon to view the data.
Since the standard deviation (s = for Brand B is
than the standard deviation for Brand A (s = ), Brand B would be a
predictor for the useful life for a given cutting speed.
(Type an integer or a decimal rounded to three decimal places.)
- X
Data Table
Useful Life (hours)
Cutting Speed (meters per
minute)
Brand A
Brand B
30.0
4.7
6.0
30.0
3.5
6.5
30.0
5.4
5.0
40.0
5.4
6.0
40.0
4.0
4.5
40.0
2.5
5.0
50.0
4.4
4.5
50.0
2.8
4.0
50.0
1.0
3.6
60.0
4.0
3.7
60.0
2.0
3.0
60.0
1.1
2.4
70.0
1.5
1.5
70.0
0.5
2.0
70.0
4.0
1.0](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F704b827e-deaa-44d8-a770-4a53587ae624%2F6e6f7583-ded2-439b-b7a5-09560b943d32%2F8x832z_processed.png&w=3840&q=75)
Transcribed Image Text:In a particular manufacturing process, the useful life of a cutting tool is linearly related to the speed at which the tool is operated. The data in the accompanying table were derived from life tests for the two different brands of cutting tools currently used in the production process. For which brand would you
feel more confident using the least squares line to predict useful life for a given cutting speed?
E Click the icon to view the data.
Since the standard deviation (s = for Brand B is
than the standard deviation for Brand A (s = ), Brand B would be a
predictor for the useful life for a given cutting speed.
(Type an integer or a decimal rounded to three decimal places.)
- X
Data Table
Useful Life (hours)
Cutting Speed (meters per
minute)
Brand A
Brand B
30.0
4.7
6.0
30.0
3.5
6.5
30.0
5.4
5.0
40.0
5.4
6.0
40.0
4.0
4.5
40.0
2.5
5.0
50.0
4.4
4.5
50.0
2.8
4.0
50.0
1.0
3.6
60.0
4.0
3.7
60.0
2.0
3.0
60.0
1.1
2.4
70.0
1.5
1.5
70.0
0.5
2.0
70.0
4.0
1.0
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