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Showing posts with the label Simple Linear Regression

Is today's world all about creativity and ideation?

Are they the seeds to be nurtured to bring in automation, innovation and transformation.  There is a saying, necessity is the mother of invention. I would say, innovation is amalgamation of creativity and necessity.  We need to understand the ecosystem, to apply creativity and identify the ideas to bring in change. We need to be competent with changing ecosystem and think beyond the possible. What is the biggest challenge in doing this? "Unlearning and Learning", we think the current ecosystem is the best. Be it health, finserve, agriculture or mechanical domain, we need to emphasize with the stakeholders, to come up with the strategy to drive. The very evident example here is the quality of life is changing every millisecond. Few decades back the phone connection was limited to few, but today all the millennials are having a mobile phone. Now phone is not just a medium to talk, but are so powerful devices that an innovative solution can be developed on it....

Simple Linear Regression using R Programming

Hello Data Experts, Let me continue from my last blog https://outstandingoutlier.blogspot.in/2017/08/z-and-t-distribution-values-using-r.html “Z and T distribution values using R” where I had covered when to choose Z distribution and we should opt for T Distribution. Finally, I had also touched upon 3 key formulas to derive those values: Confidence Interval     =            Sample mean + Margin of Error Z Distribution                =          Sample mean + Z (1-α) value* (SD/square root of (sample size)) T Distribution                =           Sample mean + T (1-α, n-1,) value* (SD/square root of (sample size)) In this blog, I will cover Simple Linear Regression mode...