Topic 8 DQ 2-Responses

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Tukkar School Of Nurisng , Belgaum *

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Nursing

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Nov 24, 2024

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1 Topic 8 DQ 2 Your Name Chamberlain University College of Nursing Course Number: Course Name Name of Instructor Assignment Due Date

2 Topic 8 DQ 2 You have a regression equation based on data from years 1 thru 10 (y = 6 + 32x, where x equals year). You want to forecast a result in Year 20. How would you do it? Discuss the potential pitfalls. Be sure to include relevant references. In reply to your peers, discuss whether you agree or disagree with the ideas proposed and justify your answer using the topic Resources. Explain some ethical considerations when dealing with regression analysis. Use reference source(s) to support your response. Response to Christina Williams Christina Williams, I agree with your explanation of how to forecast a result in Year 20 using the given regression equation. By substituting x = 20 into the equation y = 6 + 32x, we arrive at the forecasted value of y = 646. You also correctly highlighted some potential pitfalls associated with linear regression analysis, and I'll further elaborate on the ethical considerations related to regression analysis. Some of these considerations include data Pprivacy and consent, bias and fairness among others. Response to Lucas Stray, Lucas Stray, I agree with your results. Your answer of 646 is absolutely correct. You also made a valid point regarding the potential pitfalls of forecasting too far into the future based on a simple linear regression equation, I agree with you on this because lack of seasonality and potential changing trends. This therefore means that, while linear regression can be useful for short-term forecasting within the range of the available data, it becomes less reliable for long-term projections. I belive that the changinging trends and lack of seasonality and cyclicality consideration are the major ethical issues when dealing with regression analysis, this is because, there might be a possibility of inaccurate results. Response to Matthew Miller Matthew Miller, I agree with your explanation of how to forecast a result in Year 20 using the given regression equation. By substituting x with 20 in the equation y = 6 + 32x, we get y=6+(32*20) and this gives us 6+640 which ultimately gives us y = 646. Therefore, your result is accurate. You also noted extrapolating beyond the range of known data in regression analysis as the possible pitfall, which I agree as well. One of the major ethical issues in regression analusis is biases and fairness, especially when the results have implications for decision-making, resource allocation, or policy formulation.

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