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Ask by Murphy Burns. in the Philippines
Mar 26,2025

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or approximately .

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Did you know that the formula you’re using is derived from the least squares method, which dates back to the late 18th century? It was popularized by mathematician Carl Friedrich Gauss, who applied it for astronomical observations. This method helps minimize the differences between observed values and those predicted by a linear equation. So, you’re tapping into centuries of statistical wisdom!
When applying this formula, a common mistake is miscalculating the summation terms. Be sure to double-check your values for , , and as any errors can throw off your entire regression line! Also, when plugging in your numbers, keeping track of your parentheses is key to avoid potential calculation missteps. Happy calculating!

Related Questions

\begin{tabular}{l} ter 13 Review \\ \( 1 \leftarrow \quad \begin{array}{l}\text { A Morning Consult/Politico poll of } 1997 \text { registered voters in July } 2020 \text { asked a standard polling question of whether the United States was headed in the "Right Direction" or } \\ \text { was on the "Wrong Track." } 75.3 \% \text { said that things are on the wrong track vs. } 24.7 \% \text { who said "right direction." Complete parts a and b. } 51.35 \%, 19 \text { of } 37 \text { points } \\ \text { Part } 1 \text { of 2 }\end{array} \) \\ \( \begin{array}{l}\text { a) Calculate the margin of error for the proportion of all U.S. adults who think things are on the wrong track for } 99 \% \text { confidence. } \\ \text { ME }=\square \text { (Round to three decimal places as needed.) }\end{array} \) \\ \hline\end{tabular}

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