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 table below shows the number of sheets in stock over 6 days Sheets in Stock Day (x) (f(x)) 860 1- 930 3 1000 1150 1200 6 1360 The linear regression model has been calculated for you and written below. y = 98z + 737 Use the model to answer all the following parts: Part A: Interpret the slope in terms of the context of the problem Part B: Interpret the y-intercept in terms of the context of the problem. Part C: Predict the number of metal sheets in stock on day 10. Part D: Determine what day (number) the metal can be shipped.

Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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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 table below shows the number of sheets in stock over 6 days.
Sheets in Stock
Day
(x)
(1(x))
860
2
930
3
1000
4
1150
1200
6
1360
The linear regression model has been calculated for you and written below.
y = 982 + 737
Use the model to answer all the following parts:
Part A: Interpret the slope in terms of the context of the problem.
Part B: Interpret the y-intercept in terms of the context of the problem.
Part C: Predict the number of metal sheets in stock on day 10.
Part D: Determine what day (number) the metal can be shipped.
Transcribed Image Text: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 table below shows the number of sheets in stock over 6 days. Sheets in Stock Day (x) (1(x)) 860 2 930 3 1000 4 1150 1200 6 1360 The linear regression model has been calculated for you and written below. y = 982 + 737 Use the model to answer all the following parts: Part A: Interpret the slope in terms of the context of the problem. Part B: Interpret the y-intercept in terms of the context of the problem. Part C: Predict the number of metal sheets in stock on day 10. Part D: Determine what day (number) the metal can be shipped.
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