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  9. Rupinder N
    The chosen best answer is that of Natwar Lal for listing multiple scenarios when causality exists but still the X and Y may not show strong correlation. Amlan Dutt's answer is must read to get good insight on the topic. Benchmark expert view is provided by Venugopal R.
  10. Rupinder N
    Q. 169 How can you check if you have taken enough samples for carrying out a Regression Analysis? Please remember, your answer will not be visible immediately on responding. It will be made visible at about 5:00 PM IST/ 11:30 AM GMT/ 4:30 AM PST on 21st June 2019, Friday to all 53000+ members. It is okay to research various online sources to learn and formulate your answer but when you submit your answer, make sure that it does not have content that is copied from elsewhere. Plagiarized answers will not be approved (and therefore will not be displayed).  All Questions so far can be seen here - https://www.benchmarksixsigma.com/forum/lean-six-sigma-business-excellence-questions/  All rewards are mentioned here - https://www.benchmarksixsigma.com/forum/excellence-rewards/
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  12. Venugopal R
    Benchmark Six Sigma Expert View by Venugopal R One of the important tasks that most of us would have to encounter while working on improvement projects is to establish controls for sustaining our gains. In this context, it is not only important to identify the cause-effect relationship relevant to our problem, but also, prove and implement sustenance measures. Once a cause and effect relationship is established and we have proven the relationship between two variables, we would certainly like to express the association in a best possible manner. To examine whether an established cause-effect relationship should necessarily exhibit strong correlation, let’s look at some examples and think about this question. Correlations that remain valid within a range: Let’s take an example of a compression moulded component. It was proven that the cause for the poor hardness of the moulded component was due to low temperature setting. Once the temperature setting was increased, other parameters being maintained, the required hardness was attained. Both the dependent and independent variables are continuous in nature. In this case if a study is taken up by measuring the hardness levels against various temperature settings, we can certainly expect to see a positive correlation. However, this correlation may not continue beyond a certain range of temperature value. The correlation between the cause and the effect is valid within a certain range of the cause variable and would have an optimal value. Discrete causal variable: Let’s take an example of vehicle fuel mileage. Based on studies, it was established that the type of spark plug used was an important cause for the mileage of the vehicle. In this case we have 3 different types of spark plugs to choose from, thus making the causal variable a discrete one. In a strict sense, we may not be able to establish a co-relation between the proven cause and effect, since we do not have a sets of variable data sets to derive the correlation. However, those interested in deeper research may identify a variable factor within the spark plug that causes the difference and try to establish a correlation to the effect. Discrete variables for both cause and effect: Let us take another example where a login account is not opening and the cause is identified as usage of wrong passcode. Once the right passcode is used, the login works. The variables involved in the effect and cause are both discrete. Is there a way to establish a ‘correlation’? Continuous causal variable and discrete effect: Let us consider a case where the input (causal) variable is continuous and the output (effect) variable is discrete. Consider a drop test for a packed Hardware equipment, where the input variable is the drop height and the output variable is “whether the equipment is damaged or not”. It may not be possible to derive a correlation directly. However, if we can perform multiple tests for each drop height, then the proportion of products getting damaged for different drop heights, within a certain range could show a correlation. Considering the destructive nature of such tests, it may practically be expensive. To sum up, a proven cause-effect relationship establishes an association between the two variables, dependent and independent. However, correlation could be one of the tools to depict this association, but may not be the best applicable tool in all situations. Other tools such as tests of hypothesis, ANOVA, logistic regression etc. may be more appropriate depending on the types of data.
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  16. Hemant P. Singh

    April-June 2019

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  17. Bharat M
    "I have to say that the training and the trainers were awesome. A great session, very well managed and executed. The trainers methodology of training was commendable and well planned and executed. Overall I would rate excellent with respect to training and Benchmark including trainers ability. I would Benchmark for Six Sigma trainings." Bharat M, Costing Executive, Dow Chemicals
  18. Naman Joshi
    "The training was very well organized and comprehensive. The trainer kept the session interactive, interesting and informative. The course was well structured and the contents covered in the session were great. Had a great experience with Benchmark in its public training." Naman Joshi, Mahindra Susten
  19. Yusuf A
    "I had a very good learning experience; the detailed description of running control charts, stats, and multiple exercises during the session were highlights of the it. I cant wait to implement the learnings at my work place." Yusuf Ahmed, Operations Manager, Crisil
  20. Anuj V
    "The entire session was very well structured and had the best faculty." Anuj Verma, Manager, HDFC Bank
  21. Farooq Pathan
    "The trainer is outstanding. Great course material and they way it was explained was to make sure that each individual participant understands the concept in details." Farooq Pathan, Vodafone
  22. Daisy Veeramani
    "Both the GB & BB training have been a fantastic experience for me. The trainer made the learning very easy and the way he explained each of the concepts, it will remain in the memory for long time and can be applied at work place." Daisy Veeramani, Senior Manager, Vodafone Idea Limited
  23. Vartika Kulshreshtha
    "Both the training and the faculty were excellent, the faculty explained every bit of the concepts with great details and practical examples." Vartika Kulshreshtha, Organisational Excellence, Blue Dart
  24. Satyanand Upadhyay
    "The session was highly interactive and I could easily relate to the practical problems . The way the topics were explained helped to understand the complex problems in a very systematic and easy manner. The understanding of statistical tools and their implementation was explained in very effective ways. Thanks a lot to trainer for giving such a great learning experience!" Satyanand Upadhyay, Deputy Manager, Axis Bank
  25. Albert Marian Dsouza
    "It was a very interactive training and great trainer. Looking forward to apply the knowledge that I gained during this training." Albert Marian Dsouza, Operations Manager, Ecom Support Pvt Ltd
  26. SaurabhJoshi
    "It was a great training session, Benchmark team has really bench-marked itself in the Six Sigma training. Great trainer and excellent learning experience." Saurabh Joshi, Sr Sales Manager, Transpares limited
  27. Prinal Pankajakshan
    "It was an excellent training and the explanation by the trainer for each concept, examples and details on Minitab is commendable." Prinal Pankajakshan, GIS analyst, HereMaps
  28. Swati Malhotra
    "I loved the entire training session, the faculty was excellent and he explained every concept in great details with patience." Swati Malhotra, International Banking Department Head, SBI
  29. Sneha.
    "I loved the training, it was very interactive and engaging. The content of the training was further classified and explained in detailed manner. I am very eager to apply my learnings in the day to day work." Sneha, Operations Manager, Crisil
  30. Keyur Sah
    "Excellent training and topic coverage." Keyur Shah, Manager, Sun Pharma
  31. Hrishikesh Joshi
    "It was a great session; very informative, interactive and very well conducted. I learnt a lot and looking forward to apply my learnings and keep learning." Hrishikesh Joshi, Project Manager, HDFC
  32. Vaquas Qureshi
    "I had a very good training experience; great blend of knowledge, presentation skills and time management." Vaquas Qureshi, Mahindra Susten
  33. Ankit J
    "It was an excellent program and the trainer was extremely knowledgeable." Ankit Jain, Mahindra Susten
  34. Siddharth Menon
    "It was so nice to learn in such a systematic manner; well structured and great content, smooth walk-through and untroubled pace throughout the training." Siddharth Menon, Operational Excellence, Mahindra Susten
  35. Prashant T
    "It is a great course and it will help me a lot in the future." Prashant Thakur, Procurement, Mahindra Susten
  36. Eswararao Medisetty
    "It was an awesome training, the trainers teaching style is exemplary. The approach of the training and the content were very good. The examples cited during the training were relevant and easy to understand." Eswararao Medisetty, Procurement, Mahindra Susten
  37. Mujahid Ghalib
    "It was a brilliant session and can't thank the trainer enough for it. The ideal part of the training was that the trainer answered the queries of each participants in a wonderful manner. The training was very motivating and it will help me to keep learning further." Mujahid Ghalib, Operations Manager, CyberTech Systems and Software Ltd.
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