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the standard error when using one-way ANOVA is calculated as the pooled standard deviation / √n. For the details, please see this post, agronomy4future.org/archives/15708

Hi, it's the matter of using terms. actual value is yi, and expected (or estimated) value is ŷ. Therefore, yi - ŷ is the error. ŷ indicates the regression line, while yi indicates data points. Therefore, the difference between actual data points and regression line is the error. If all data points are exactly on the regression line, it's y = x, and there are no errors. To calculate SSE and SSR, the average of ŷ is not usually considered. This is sum of squared for simple linear regression. SST = SSR + SSE; Σ (yi - ȳ)2 = Σ (ŷ - ȳ)2 + Σ (yi - ŷ)2. I recommend this article. agronomy4future.org/archives/18092. Please let me know if you have further questions.

Thank you for your comment!!

Thank you for your feedback. You're absolutely correct. It's a typing error. It should be sqrt(1/5 + 30^2 / 1000.0). Thanks!!

Thank you for your comment. Yes, more space will increase to uptake resources (different pathways) and will increase yield due to more grain numbers, but not grain weight in wheat.

Thanks:) You're the first person who left a comment in my channel. Best wish for your research!!