a. Use linear regression model to develop a relationship to forecast the yearly maintenance cost based on the age of a tractor (use Excel) b. If a section has a three-year old tractor, what is the forecast for the annual maintenance cost?
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- The materials handling manager of a manufacturing company is trying to forecast the cost of maintenance for the company's fleet of over-the-road tractors. The manager believes that the cost of maintaining the tractors increases with their age. The following data was collected: Yearly Maintenance Yearly Maintenance Age (years) Age (years) Cost ($) Cost (S) 6.5 819 8.0 1,394 5.5 1,249 2.5 363 6.5 1,233 2.5 382 7.0 695 9.0 964 6.0 923 8.0 1,573 6.0 881 3.0 1,178 7.0 1,090 3.0 666 7.0 1,722 3.0 749 7.5 1,187 a. Use POM for Windows' least squares-linear regression module to develop a relationship to forecast the yearly maintenance cost based on the age of a tractor. (Enter your responses rounded to three decimal places and include a minus sign if necessary.) Y = 365.727 + 110,721 X where Y = Yearly maintenance cost in dollars and X= Age in years. b. If a section has 20 four-year-old tractors, what is the forecast for the annual maintenance cost? $ |- (Enter your response rounded to two…Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $14.0 million each. Sales for these NCMs for the past two years were as follows: Use Exhibit 3.10. QUARTER LAST YEAR I II III IV QUANTITY (UNITS) Y = 14 20 28 18 QUARTER THIS YEAR I II III IV QUANTITY (UNITS) 20 26 30 15 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) > Answer is complete but not entirely correct. 18.535 X + 0.630 tA marketing analyst wants to examine the relationship between sales (in $1,000s) and advertising (in $100s) for firms in the food and beverage Industry and collects monthly data for 25 firms. He estimates the model Sales-o Advertising. The following ANOVA table shows a portion of the regression results. Regression Residual df 1 23 55 78.53 504.02 MS 78.53 21.91 T 3.58
- From the following time series data of sale project the sales for the next three years. Year 2001 2002 2003 2004 2005 2006 2007 Sales (*000 units) 80 90 92 83 94 99 92Question 2: Consider again that the company making tires for bikes is concerned about the exact width of its cyclocross tires. The company has a lower specification limit of 22.8 mm and an upper specification limit of 23.2 mm. The standard deviation is 0.15 mm and the mean is 23 mm. What is the probability that a tire will either be too wide or too narrow?STAT 382 (page 3 of 10)-Google Chrome arn.squ.edu.om/mod/quiz/attempt.php?attempt D17403728icmid 8666708page-2 E-LEARNING SYSTEM (ACADEMIC) me Series forecasting for Business || Spring21 Time left 0:30:09 stion The predicted monthly sales for a company over the first six months of 2010 are 360, 385, 275, 300, 312, and 307. Find the standard deviation. put of O A. 33.74 O B. 41.04 O C. 40.72 O D. 41.72 IOUS PAGE NEXT PAGE
- . Prepare a scatter diagram for each of these data sets and then express in words the apparent relationship between the two variables. Put the first variable on the horizontal axis and the secondvariable on the vertical axis.b. Temperature (°F) 65 63 72 66 82 58 75 86 77 65 79Error rate 1 2 0 0 3 3 1 5 2 1 3what are the Descriptive Statistics, Ordinal Scale and Dichotomous Variable? What are the differences among them?year quarterly sales (000 units) Q1 Q2 Q3 Q4 2016 1300 1500 1200 2000 2017 1600 1800 1100 2200 2018 1700 1900 1300 2300 2019 1800 2100 1400 2500 Using a simple regression analysis, determine the trend equation of the sales and use it to estimate the number of units of clothing sold throughout the fiscal year 2020. Assume that Q1 of 2016 is 1, Q2 of 2016 is 2, etc. Show all relevant cakculation detail
- Tucson Machinery, Inc., manufactures numerically controlled machines, which sell for an average price of $0.5 million each. Sales for these NCMS for the past two years were as follows: Use Exhibit 18.10. LAST YEAR THIS YEAR QUANTITY (UNITS) QUANTITY QUARTER (UNITS) QUARTER I 11 I 16 II 17 II 23 III 25 III 27 IV 15 IV 18 a. Find the equation of a simple linear regression line using Excel. (Round your answers to 3 decimal places.) Y = b. Compute trend and seasonal factor from a linear regression line obtained with Excel. (Do not round intermediate calculations. Round your answers to 3 decimal places.) Period Trend Forecast Seasonal Factors Last Year II IV This Year II III IVRecords pertaining to the monthly number of job-related injuries at an underground coal mine were being studied by a government agency. The values for the past 100 months were as follows: Injuries Frequency of per Month Occurrence 32 40 2 15 3 4 1. 1. Apply the chi-square test to these data to test the hypothesis that the underlying distribution is Poisson. Important note: In the answer box below, just put the numerical test statistic value. Use x.xx format for the numerical value you provide as the answer. Do NOT compare the test statistic with the critical value from a table. Answer:1.Use a Venn-diagram to perform a qualitative risk assessment, indicating the likelihood%, category, frequency, severity, and RHC score for climate, pest infestations, soil erosion, market volatility and supply chain management risk of corn. 2.Plot the risks from the Venn diagram on a Risk Heat Map/Chart