Disction

38. Discuss the implications of big data on regression analysis. How might very large and very small samples impact regression inference? Provide examples to support your opinion.

Samples should not be overly large or small, as both have limitations that may influence the conclusions of the research. When conducting research, the size of the sample is important for ethical and scientific grounds as well as concerns regarding human and financial resources (Faber and Fonseca, 2019,). (Faber & Fonseca, 2019). While reading an article, the reader should be on guard to make sure that the study they’re reading was subjected to a sample size calculation. If there is no calculation, the results of the study must be taken into consideration with caution. A suitable sample makes research extremely efficient. The results produced are trustworthy, the expenditure is as minimal as is feasible, and it adheres with ethical standards (Faber and Fonseca, 2019,). (Faber & Fonseca, 2019). The size of the sample estimation directly impacts the results of studies. The larger samples are more likely to make tiny adjustments into statistically significant variations even when they’re not clinically significant. On the other hand, small samples can be a hindrance to the internal. Cont…