Step 1: Understanding the Concept:
The problem asks to find the parameters 'a' and 'b' for a linear trend line fitted using the method of least squares. The equation is given in a coded form, which simplifies calculations by shifting the origin of the time variable 'x'.
Step 2: Key Formula or Approach:
The trend line is \(y = a + bX\), where \(X = x - 2022\).
The normal equations for finding 'a' and 'b' are:
\[ \sum y = na + b \sum X \]
\[ \sum Xy = a \sum X + b \sum X^2 \]
Since the time variable is coded such that \(\sum X = 0\), the formulas simplify to:
\[ a = \frac{\sum y}{n} \]
\[ b = \frac{\sum Xy}{\sum X^2} \]
Step 3: Detailed Explanation:
Let's create a calculation table with the coded time variable \(X = x - 2022\).
\begin{tabular}{|c|c|c|c|c|}
\hline
Year (x) & Profit (y) & X = x - 2022 & Xy & \(X^2\)
\hline
2020 & 2 & -2 & -4 & 4
\hline
2021 & 3 & -1 & -3 & 1
\hline
2022 & 4 & 0 & 0 & 0
\hline
2023 & 5 & 1 & 5 & 1
\hline
2024 & 2 & 2 & 4 & 4
\hline
Sum & \(\sum y = 16\) & \(\sum X = 0\) & \(\sum Xy = 2\) & \(\sum X^2 = 10\)
\hline
\end{tabular}
The number of data points is n = 5.
Now, we can calculate 'a' and 'b' using the simplified formulas:
\[ a = \frac{\sum y}{n} = \frac{16}{5} = 3.2 \]
\[ b = \frac{\sum Xy}{\sum X^2} = \frac{2}{10} = 0.2 \]
The question asks for the value of the ratio \(\frac{a}{b}\).
\[ \frac{a}{b} = \frac{3.2}{0.2} = \frac{32}{2} = 16 \]
Step 4: Final Answer:
The value of \(\frac{a}{b}\) is 16.