A factory is producing and stockpiling metal sheets to be shipped to an automobile manufacturing plant. The factory ships only when there is a minimum of 2,050 sheets in stock. The accompanying table shows the day, x, and the number of sheets in stock, f(x). Day (x) Sheets in Stock (1(x) 860 2 930 3 1000 1150 1200 6 1360 a) Write the linear regression equation for this set of data, rounding the coefficients to four decimal places. b) Use this equation to determine the day the sheets will be shipped.
A factory is producing and stockpiling metal sheets to be shipped to an automobile manufacturing plant. The factory ships only when there is a minimum of 2,050 sheets in stock. The accompanying table shows the day, x, and the number of sheets in stock, f(x). Day (x) Sheets in Stock (1(x) 860 2 930 3 1000 1150 1200 6 1360 a) Write the linear regression equation for this set of data, rounding the coefficients to four decimal places. b) Use this equation to determine the day the sheets will be shipped.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Transcribed Image Text:3) A factory is producing and stockpiling metal sheets to be shipped to an automobile
manufacturing plant. The factory ships only when there is a minimum of 2,050 sheets
in stock. The accompanying table shows the day, x, and the number of sheets in stock, f(x).
Sheets in Stock
Day
(x)
860
2
930
3
1000
4
1150
1200
6
1360
a) Write the linear regression equation for this set of data, rounding the coefficients to four
decimal places.
b) Use this equation to determine the day the sheets will be shipped.
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