The Operations Manager is confronted with the following raw data, and asked you as Data Analyst to get insights from it. Apply your knowledge of regression analysis in order for you to derived the appropriate insights; and what advise can give to the Operations Manager. I Machine Number of Breakdowns 9 5 Machine Operator on Duty (Majority are) Age of Machine (in years) 12 2 F 4 4 13 11 9. 4 18 2 12 M 8. F 24 14 F
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- Under what conditions might a firm use multiple forecasting methods?How do organizations use linear regression. Also can you provide some examples.Macomb Inc. used Excel to run a least-squares regression analysis on the production cost data resulting in the following output: Regression StatisticsMultiple R 0.9834 R Square 0.9596 Observations 30 Coefficients Standard Error T Stat P-ValueIntercept 174,980 61,580 2.84 0.021 Production units (X) 11.53 0.9265 12.44 0.000 What total cost would Macomb predict for a month in which production is 2,000 units? Multiple Choice $174,900 $63,433 $198,040 $23,037
- (a) Assuming that a simple linear regression model is appropriate, obtain the least squares fit relating selling price to taxes paid. What is the estimate of o²? (b) Find the mean selling price given that the taxes paid are x = 7.50. (c) Calculate the fitted value of y corresponding to x = 5.8980. Find the corresponding residual.The H.W. Grant Corporation used regression analysis to predict the annual cost of indirect materials. The results were as follows: Indirect Materials Cost Explained by Units Produced Constant $15,675 Standard error of Y estimate $3,500 0.7776 Number of observations 16 X coefficient(s) 10.25 Standard error of coefficient(s) 2.195 What is the cost estimation equation? O A. Y= $12,175 + $10.25X O B. Y= $3,500 + $7.97X O C. Y= $19,175 + $4.67X O D. Y= $15,675 + $10.25XCalculate a regression line for the data and indicate the forecast of sales for a store with advertising spending of R240,000? and R300,000? Store Advertising Sales 1 14 6 2 11 3 3 15 5 4 16 5 5 24 15 6 28 18 7 22 17 8 21 12 9 26 15 10 43 20 11 34 14 12 9 5
- Balanced scorecardCostco Wholesale Corporation (COST) operates membership warehouses throughout the United States and the world. Fifteen Costco metrics and recent initiatives are as follows1. Increasing same store sales2. Improving safety procedures for warehouse prepared foods3. Reducing the number of product returns4. Researching consumer preferences5. Increasing the number of warehouses with gas pumps6. Offering training programs for all new employees7. Offering awards for employees with more the five years of service8. Improving Costco online consumer experience9. Increasing gross profit percentage10. Changing containers from square to round to increase the number of containers that can be shipped on a pallet11. Developing a company-owned coffee roasting operation12. Using floor-ready packaging from suppliers13. Reducing warehouse energy usage for floor lighting14. Increasing the use of automation to increase efficiencies15. Increasing the average revenue per memberAssign each item…Movieflix, an online movie streaming service that offers a wide variety of award-winning TV shows, movies, animes, and documentaries, would like to determine the mathematical trend of memberships in order to project future needs. Year 2013 2014 2015 2016 2017 2018 2019 2020 2021Membership (000s) 17 16 16 21 20 20 23 25 24 1. What are the issues associated with qualitative forecasting, and how are these overcome?d. Now based on regression analysis predict the number of patients that Dr. Fok will see in year 11 and 12 based on the forecasted Robbery Rate - year 11 is 117.1 and year 12 is 120.8. e. What is the MAD? f. What is the correlation Coefficient – r-value? % g. Based on the overall analysis, how well does each model fit the data?
- Suppose these data show the number of gallons of gasoline sold by a gasoline distributor in Bennington, Vermont, over the past 12 weeks. Sales (1,000s of gallons) Week 1 17 2 21 3 19 23 5 18 6 16 7 21 8 19 9 23 10 21 11 16 12 23 (a) Using a weight of - for the most recent observation, for the second most recent observation, and - for third most recent observation, compute a three-week weighted moving average for the time series. (Round your answers to two decimal places.) Time Series Value Weighted Moving Average Forecast Week 1. 17 2 21 19 4 23 5 18 6 16 7 21An auditor used regression analysis to evaluate the relationship between utility costs andmachine hours. The following information was developed using a computer softwareprogram: Intercept 2,050 Standard error of estimate 200Regression 0.825 Number of observations 36Correlation coefficient 0.800 How much is the utility cost if the company’s 10 machines will use 2,400 hours next month?a. ₱3,830b. ₱3,970c. ₱4,030d. ₱4,050A new product is planned to be released to the market. Data were collected through prelaunch forecasting, the data were analyzed to understand the market behavior and regression analysis was applied and the following equation was obtained: y = 0 00005x + 0.5x + 450 The coefficient of innovation is: (1.5) O a 0.08 O b. 004 0.005 Od. 0.10 Oe 0,03