The following data on x = the line speed (feet per minute) and y = the number of defective parts found for a production process at Brawdy Plastics provided the estimated regression equation ŷ = 27.5 – 0.3z. Excel File: data14-37.xlsx Number of Defective Line Speed Parts Found 20 23 20 21 30 19 30 16 40 15 40 17 50 14 50 11 For these data SSE = 16 Develop a 95% confidence interval for the mean number of defective parts for a line speed of 25 feet per minute (to 4 decimals). Use Table 1 of Appendix B. to

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4GP
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The following data on æ = the line speed (feet per minute) and y = the number of defective parts found for a production process at Brawdy
Plastics provided the estimated regression equation ŷ = 27.5 – 0.3x.
Excel File: data14-37.xlsx
Number of Defective
Line Speed
Parts Found
20
23
20
21
30
19
30
16
40
15
40
17
50
14
50
11
For these data SSE = 16 Develop a 95% confidence interval for the mean number of defective parts for a line speed of 25 feet per minute (to 4
decimals). Use Table 1 of Appendix B.
to
Transcribed Image Text:The following data on æ = the line speed (feet per minute) and y = the number of defective parts found for a production process at Brawdy Plastics provided the estimated regression equation ŷ = 27.5 – 0.3x. Excel File: data14-37.xlsx Number of Defective Line Speed Parts Found 20 23 20 21 30 19 30 16 40 15 40 17 50 14 50 11 For these data SSE = 16 Develop a 95% confidence interval for the mean number of defective parts for a line speed of 25 feet per minute (to 4 decimals). Use Table 1 of Appendix B. to
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