Connect with knowledgeable individuals and get your questions answered on IDNLearn.com. Ask your questions and get detailed, reliable answers from our community of knowledgeable experts.

Also, calculate the trend values.

\begin{tabular}{|l|l|l|l|l|l|}
\hline
Year & 2006 & 2007 & 2008 & 2009 & 2010 \\
\hline
Profit (Rs 000) & 12 & 18 & 20 & 23 & 27 \\
\hline
\end{tabular}

Estimate the profit for the year 2012. Fit a straight-line trend by the method of least squares and obtain the trend value.


Sagot :

Sure! Let's fit a straight line trend to the given data using the method of least squares. We have been given the data as follows:

| Year | 2006 | 2007 | 2008 | 2009 | 2010 |
|------|------|------|------|------|------|
| Profit (in Rs '000) | 12 | 18 | 20 | 23 | 27 |

### Step 1: Calculate the Means
First, we need to calculate the mean of the years and the mean of the profits.

[tex]\[ \text{Mean of Years} = \frac{2006 + 2007 + 2008 + 2009 + 2010}{5} = 2008 \][/tex]
[tex]\[ \text{Mean of Profits} = \frac{12 + 18 + 20 + 23 + 27}{5} = 20 \][/tex]

### Step 2: Calculate the Coefficients [tex]\(b_0\)[/tex] and [tex]\(b_1\)[/tex]
We need to find the coefficients of the least squares regression line:
[tex]\[ \text{Profit} = b_0 + b_1 \times \text{Year} \][/tex]

To find [tex]\(b_1\)[/tex]:

[tex]\[ b_1 = \frac{\sum (x_i - \bar{x})(y_i - \bar{y})}{\sum (x_i - \bar{x})^2} \][/tex]

For the numerator of [tex]\(b_1\)[/tex]:
[tex]\[ \sum (x_i - \bar{x})(y_i - \bar{y}) = (2006 - 2008)(12 - 20) + (2007 - 2008)(18 - 20) + (2008 - 2008)(20 - 20) + (2009 - 2008)(23 - 20) + (2010 - 2008)(27 - 20) \][/tex]
[tex]\[ = (-2)(-8) + (-1)(-2) + 0 + (1)(3) + (2)(7) \][/tex]
[tex]\[ = 16 + 2 + 0 + 3 + 14 = 35 \][/tex]

For the denominator of [tex]\(b_1\)[/tex]:
[tex]\[ \sum (x_i - \bar{x})^2 = (2006 - 2008)^2 + (2007 - 2008)^2 + (2008 - 2008)^2 + (2009 - 2008)^2 + (2010 - 2008)^2 \][/tex]
[tex]\[ = (-2)^2 + (-1)^2 + 0 + 1^2 + 2^2 \][/tex]
[tex]\[ = 4 + 1 + 0 + 1 + 4 = 10 \][/tex]

So, [tex]\(b_1\)[/tex] is:
[tex]\[ b_1 = \frac{35}{10} = 3.5 \][/tex]

To find [tex]\(b_0\)[/tex]:
[tex]\[ b_0 = \bar{y} - b_1 \times \bar{x} \][/tex]
[tex]\[ b_0 = 20 - 3.5 \times 2008 \][/tex]
[tex]\[ b_0 = 20 - 7028 = -7008 \][/tex]

### Step 3: The Estimated Straight Line
The regression equation is:
[tex]\[ \text{Profit} = -7008 + 3.5 \times \text{Year} \][/tex]

### Step 4: Estimate the Profit for 2012
Substituting 2012 into the equation:
[tex]\[ \text{Profit}_{2012} = -7008 + 3.5 \times 2012 \][/tex]
[tex]\[ \text{Profit}_{2012} = -7008 + 7042 \][/tex]
[tex]\[ \text{Profit}_{2012} = 34 \][/tex]

### Step 5: Calculate the Trend Values
We now calculate the trend values for each given year:
[tex]\[ \text{Trend}_{2006} = -7008 + 3.5 \times 2006 = -7008 + 7021 = 13 \][/tex]
[tex]\[ \text{Trend}_{2007} = -7008 + 3.5 \times 2007 = -7008 + 7024.5 = 16.5 \][/tex]
[tex]\[ \text{Trend}_{2008} = -7008 + 3.5 \times 2008 = -7008 + 7028 = 20 \][/tex]
[tex]\[ \text{Trend}_{2009} = -7008 + 3.5 \times 2009 = -7008 + 7031.5 = 23.5 \][/tex]
[tex]\[ \text{Trend}_{2010} = -7008 + 3.5 \times 2010 = -7008 + 7035 = 27 \][/tex]

### Summary:
- The estimated profit for the year 2012 is 34 (in Rs '000).
- The trend values for the given years are:
- 2006: 13
- 2007: 16.5
- 2008: 20
- 2009: 23.5
- 2010: 27