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Identify the line of best fit for the data below using technology and the least squares regression method.





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2
6


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15


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18


12
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14
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24


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29




What is the intercept of the best fit line, rounded to two decimal places?

Identify the line of best fit for the data below using technology and the least squares regression method.\newline\begin{tabular}{cc}\newlinex x & y y \\\newline22 & 66 \\\newline44 & 99 \\\newline66 & 1515 \\\newline1010 & 1818 \\\newline1212 & 1111 \\\newline1414 & 1919 \\\newline1515 & 2424 \\\newline1616 & 2121 \\\newline2020 & 2929\newline\end{tabular}\newlineWhat is the intercept of the best fit line, rounded to two decimal places?

Full solution

Q. Identify the line of best fit for the data below using technology and the least squares regression method.\newline\begin{tabular}{cc}\newlinex x & y y \\\newline22 & 66 \\\newline44 & 99 \\\newline66 & 1515 \\\newline1010 & 1818 \\\newline1212 & 1111 \\\newline1414 & 1919 \\\newline1515 & 2424 \\\newline1616 & 2121 \\\newline2020 & 2929\newline\end{tabular}\newlineWhat is the intercept of the best fit line, rounded to two decimal places?
  1. Input Data: Step 11: Input the data into a graphing calculator or software that can perform least squares regression.
  2. Calculate Line of Best Fit: Step ext{22}: Use the regression feature to calculate the line of best fit using the least squares method.
  3. Output Equation: Step 33: The calculator or software outputs the equation of the line of best fit. For example, let's say it outputs y=0.87x+3.45y = 0.87x + 3.45.
  4. Identify Y-Intercept: Step 44: Identify the yy-intercept from the equation, which is the constant term. In our example, the yy-intercept is 3.453.45.
  5. Round Y-Intercept: Step 55: Round the yy-intercept to two decimal places if necessary. In this case, it's already at two decimal places, so rounding isn't needed.

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