Question

In: Statistics and Probability

4.  Create a C/R/Psystem chart for your product line. First, complete the data matrix              shown below with...

4.  Create a C/R/Psystem chart for your product line. First, complete the data matrix        

     shown below with appropriate “R” and “P” values that would be associated with each

     given value of “x”.  Second, use the “x”, “C”, “R”, “P” information as the basis for  

    your Excel Chart.  

      a.  To identify Revenue “R” values, use the equation you previously created in  

           Section B, item “B.3”, to perform calculations at each “x” value.

Revenue.  R= [(p)][(x)] = [–0.4375(x) + 937.5][(x)] = –0.4375(x)2+ 937.5(x).

      b.  To identify Profit “P” values, perform (R) – (C) calculations at each “x” value.  

      c.  Use Excel’s Chart feature to plot the product’s “C”, “R” and “P” values from  

           your completed data matrix on one set of axes. Include “trend lines”, “trend line”

           equations and appropriate “[(R2)]” or “[(R2)adj]” values.  

Product

17

Units [x]

Cost [C]

Revenue [R]

Profit [P]

      100

145,000

      200

225,000

      400

245,000

      600

315,000

      800

350,000

    1,000

370,000

    1,200

380,000

Solutions

Expert Solution


Related Solutions

Using the data shown, you will create two charts. The first chart is a bar chart...
Using the data shown, you will create two charts. The first chart is a bar chart that will display % growth in different job titles between 2010 and 2020Est. The second chart will be a pie chart showing the 2020Est. Jobs in different categories as a % of overall 2020Est. jobs. Computer-Related Jobs 2010 2020 Est. % Change Systems Analysts         544,400         664,800 Software App Developers         520,800         664,500 Programmers         363,100         406,800 Network/System Admins         347,200...
Given the data provided below, calculate the control limits (X-bar and r-chart, Capability Index, create a...
Given the data provided below, calculate the control limits (X-bar and r-chart, Capability Index, create a control chart, and calculate the percentage of units that are expected to be out of spec (z-value). Please show all work for how all calculations were computed. Filling Line Checks - ounces Specification: 12 ounces min; max - 15 ounces Sample Sample Times Number 1pm 2pm 3pm 4pm 5pm 6pm 7pm 8pm 1 12.5 12.4 12.4 12.8 13 12.8 12.8 13 2 12.4 12.4...
For the data set shown below, complete parts (a) through (d). X Y 3 4 4...
For the data set shown below, complete parts (a) through (d). X Y 3 4 4 7 5 6 7 12 8 15 (a) Find the estimates of Bo and B1. Bo=bo= _____ (Round to three decimal places as needed.) B1=b1= ______(Round to four decimal places as needed.) (b) Compute the standard error the point estimate for se= ____ (c) Assuming the residuals are normally distributed, determine Sb1=____ (Round to four decimal places as needed.) (d) Assuming the residuals are...
For the data set shown below, complete parts (a) through (d) below. X 3 4 5...
For the data set shown below, complete parts (a) through (d) below. X 3 4 5 7 8 Y 3 5 8 12 13 (a) Find the estimates of Bo and B1. Bo=bo= _____ (Round to three decimal places as needed.) B1=b1= ______(Round to four decimal places as needed.) (b) Compute the standard error the point estimate for se= ____ (c) Assuming the residuals are normally distributed, determine Sb1=____ (Round to four decimal places as needed.) (d) Assuming the residuals...
For the data set shown below, complete parts (a) through (d) below. X 3 4 5...
For the data set shown below, complete parts (a) through (d) below. X 3 4 5 7 8 Y 4 7 6 12 15 (a) Find the estimates of Bo and B1. Bo=bo= _____ (Round to three decimal places as needed.) B1=b1= ______(Round to four decimal places as needed.) (b) Compute the standard error the point estimate for se= ____ (c) Assuming the residuals are normally distributed, determine Sb1=____ (Round to four decimal places as needed.) (d) Assuming the residuals...
For the data and sample regression equation shown​ below, complete parts​ (a) through​ (c). x 0...
For the data and sample regression equation shown​ below, complete parts​ (a) through​ (c). x 0 3 5 5 5      ModifyingAbove y with caret equals 4.500 minus 0.917 xy=4.500−0.917x y 4 3 0 −2 1 a. Determine the standard error of the estimate. b. Construct a residual plot. c. Construct a normal probability plot of the residuals. LOADING... Click the icon to view the table of normal scores.
the data set shown​ below, complete parts​ (a) through​ (d) below. x 3 4 5 7...
the data set shown​ below, complete parts​ (a) through​ (d) below. x 3 4 5 7 8 y 5 7 8 12 13 ​(a)  Find the estimates of beta 0 and beta 1. beta 0almost equalsb 0equals nothing ​(Round to three decimal places as​ needed.) beta 1almost equalsb 1equals nothing ​(Round to three decimal places as​ needed.)
the data set shown​ below, complete parts​ (a) through​ (d) below. x 3 4 5 7...
the data set shown​ below, complete parts​ (a) through​ (d) below. x 3 4 5 7 8 y 5 7 6 12 13 ​(a)  Find the estimates of beta 0 and beta 1. beta 0almost equalsb 0equals nothing ​(Round to three decimal places as​ needed.) beta 1almost equalsb 1equals nothing ​(Round to three decimal places as​ needed.)(a)  Find the estimates of beta 0 and beta 1. beta 0almost equalsb 0equals ??​(Round to three decimal places as​ needed.) beta 1almost equalsb...
Homework 16:   Complete the MRP chart below. A(1) B(2) C(4) D(1) LEGEND: A to F are...
Homework 16:   Complete the MRP chart below. A(1) B(2) C(4) D(1) LEGEND: A to F are part numbers E(2) E(2) F(2) F(1) (n) is number of children needed for                                                                                                                       each parent Part A: Lead-time = 1 week OQ = LFL Safety Stock = 0 1 2 3 4 5 6 7 8 1. Gross Requirements 30 15 50 60 50 10 2. Scheduled Receipts 3. Projected On Hand         60 4. Net Requirements 5. Planned Order Receipt 6. Planned Order...
Complete the 2nd table below by supplementing the data from the first table. Create 13 classes/groups...
Complete the 2nd table below by supplementing the data from the first table. Create 13 classes/groups using 7 as the class interval. The lowest value of the first class/group is the lowest value of the given set of data. Thus the class mark of the first class is 10. The last class, class 13th, is from 91 to 97. This data is a sample. The variance of this sample grouped data is 764.4    Find the following: Mean using Short...
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT