Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average priceof $14.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10.QUARTERLAST YEARIIIIIIIVQUANTITY(UNITS)Y =14202818QUARTERTHIS YEARIIIIIIIVQUANTITY(UNITS)20263015a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimalplaces.)> Answer is complete but not entirely correct.18.535 X +0.630 t

Here, for each quarter, I have been given the quantity(units) data, Here, I would use the actual…

Answered: a. Find the equation of a simple linear…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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S Book Hint Print eferences Problem 13-2 (Algo) A metal fabricator produces connecting rods with an outer diameter that has a 1 ± 0.02 inch specification. A machine operator takes several sample measurements over time and determines the sample mean outer diameter to be 1.004 inches with a standard deviation of 0.006 inch. Calculate the process capability index for this example. (Round your answer to 3 decimal places.) Process capability index
COQ Histogram; Spreadsheet Application Genova Company classifies its costs of quality intofour categories. The costs of quality (COQ) as a percentage of cost of goods sold for the last threeyears are as follows:[LO 17-1, 17-5][LO 17-5]2019 2020 2021Prevention costs 1.00% 4.00% 2.00%Appraisal costs 3.00 2.50 1.50Internal failure costs 27.00 23.00 14.00External failure costs 31.00 18.00 12.00Required1. Use a spreadsheet to prepare a histogram that shows the costs of quality (COQ) trends as a percentageof cost of goods sold.2. Comment on the trends in cost of quality (COQ) over the 3-year period from 2019 to 2021.3. Based on the observed trends, what total cost of quality can the company expect in 2022? Explain.
Multiple regression analysis examines the linear relationship between a dependent variable (y) and two or more independent variables (x1, x2, and so on). True False
The following correlation coefficient values come from five different linear regression models. Which model "fits" the data the best? D -8 0.50 00 0.99 O -1
Explain what is meant by standard deviation and how to find it. Find an example of a situation with a small data set and determine the standard deviation. Explain what the standard deviation means in context of the situation.
In a sample of 103 bags of dog food, the average weight was found to be 21.5⁢lb with a standard deviation of 0.5. Give a point estimate for the population variance of the weight of the bags of dog food. Round your answer to two decimal places, if necessary.
Walmart collects data that depicts the number of customers who return merchandise for a refund. The following data shows the population returns for all 10 Tuesdays. 40 12 17 46 13 22 259 167 Assume that this same exact pattern of data were replicated for the next ten days. How would this affect the standard deviation for the new population with 20 items? (Hint: Find the standard deviation first). The standard deviation would not be changed. There is no way of knowing the exact impact without knowing how the mean is changed. The standard deviation would be doubled. The standard deviation would be cut in half.
The software package most commonly used for creating simple charts is: XLMiner R Excel O SAS
can you help me answer this questions: 1-A moving average is the average of the observations in the past few periods, where the number of terms in the average is the span. True False 2- All nominal data may be treated as ordinal data. False True 3 - Phone numbers, Social Security numbers, and zip codes are typically treated as numerical variables. True False 4 - Correlation is useful only for: a.measuring the strength of a linear relationship. b.conveying the same information in a simpler format than a scatterplot. c.measuring the strength of a nonlinear relationship. d.assessing the weakness of a linear relationship. 5 - Which of the following will give the value for the third quartile? a. QUARTILE.INC(array, 0.25) b.QUARTILE.INC(array, 0.75) c. PERCENTILE.INC(array, 0.75) d.DECILE.INC(array, 0.30) 6 - _______ sampling applies to populations that are divided into natural subsets and allocates the appropriate proportion of samples to each subset.…
The table below summarizes the result of data analysis of research conducted in a sales organization that operates in 50 cities of the country, and ermploys a total of about 500 sales force. The sample size of this study was 150. Results of regression analysis R square 0.43459 Adjusted R square 0.35225 Standard error 0.41173 F-stat 5.278 Sig 0.000 Variable Beta Sig. I Training of 0.28 2.768 0.0092 salespersons No. of salesperson 0.34 3.55 0.00001 Population 0.09 0.97 0.467 Per capita income 0.12 1.200 0.089 Advertisement 0.47 4.54 0.00001 a) Summarize the results to the top management of the company. Assess whether the identified independent variables affect the sales performance.
For the next 6 numbers: Refer to the Management Scientist output of a maximization LP problem. The constraints are defined as follows: Constraint 1: advertising budget ( ) Constraint 2: sales force availability ( ) Constraint 3: production level (=) Constraint 4: retail stores requirement ( ) Optimal Solution Objective Function Value - Variable. Constraint X1 X2 X1 X2 X3 X4 X3 X4 1 2 Variable 1 2 3 3 4 OBJECTIVE COEFFICIENT RANGES 4 Constraint RIGHT HAND SIDE RANGES Value Slack/Surplus Lover Limit 25.000 425.000 150.000 0.000 84.000 50.000 No Lover Linit No Lover Linit Lover Limit 48450.000 0.000 25.000 0.000 0.000 4950.000 1775.000 515.000 0.000 Reduced Costs Dual Prices Current Value 90.000 84.000 70.000 60.000 Current Value 0.000 0.000 0.000 45.000 5000.000 1800.000 600.000 150.000 3.000 0.000 60.000 -17.000 Upper Limit No Upper Linit 90.000 87.000 105.000 Upper Linit 5850.000 No Upper Limit 603.571 200.000
High-Low; Analysis of Regression Results Regression analysis is commonly used to estimatecosts. However, the usefulness of the results depends upon the quality of the data.Fletcher Inc. is a local delivery company. The employees handle deliveries for a variety of companies that have developed apps that allow customers to place orders for food, beverages, packages, etc.The controller of Fletcher would like to come up with an estimate of the cost behavior for the deliverycosts. Fifteen months of data were collected, and the data appear below.Using the high-low method, the controller did a quick calculation and estimated the variable andfixed portions of the delivery costs. A new employee in the accounting department, however, suggested that regression would give a much better estimate of the costs.Observation Delivery Costs Number of Deliveries1 $148,620 11,5402 150,980 12,1803 199,200 16,5604 143,100 11,6855 203,695 16,6856 183,065 14,8757 156,390 13,0108 193,440 13,0109 189,330…

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a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) Y = Answer is complete but not entirely correct. 18.535 X 0.630 t