1. **Problem Statement:**
Fit the line of regression of $y$ on $x$ for the given data:
$x = [0,1,2,3,4,5,6,7,8,9]$
$y = [43,46,82,98,100,125,150,200,210,250]$
Then calculate the predicted number of bacterial cells after 15 hours.
2. **Formula and Important Rules:**
The line of regression of $y$ on $x$ is given by:
$$y = a + bx$$
where
$$b = \frac{S_{xy}}{S_{xx}} = \frac{\sum (x_i - \bar{x})(y_i - \bar{y})}{\sum (x_i - \bar{x})^2}$$
and
$$a = \bar{y} - b\bar{x}$$
Here, $\bar{x}$ and $\bar{y}$ are the means of $x$ and $y$ respectively.
3. **Calculate Means:**
$$\bar{x} = \frac{0+1+2+3+4+5+6+7+8+9}{10} = \frac{45}{10} = 4.5$$
$$\bar{y} = \frac{43+46+82+98+100+125+150+200+210+250}{10} = \frac{1304}{10} = 130.4$$
4. **Calculate $S_{xx}$ and $S_{xy}$:**
Calculate each $(x_i - \bar{x})$ and $(y_i - \bar{y})$:
| $x_i$ | $y_i$ | $x_i - \bar{x}$ | $y_i - \bar{y}$ | $(x_i - \bar{x})^2$ | $(x_i - \bar{x})(y_i - \bar{y})$ |
|-------|-------|-----------------|-----------------|---------------------|-----------------------------|
| 0 | 43 | 0 - 4.5 = -4.5 | 43 - 130.4 = -87.4 | 20.25 | (-4.5)(-87.4) = 393.3 |
| 1 | 46 | -3.5 | -84.4 | 12.25 | 295.4 |
| 2 | 82 | -2.5 | -48.4 | 6.25 | 121.0 |
| 3 | 98 | -1.5 | -32.4 | 2.25 | 48.6 |
| 4 | 100 | -0.5 | -30.4 | 0.25 | 15.2 |
| 5 | 125 | 0.5 | -5.4 | 0.25 | -2.7 |
| 6 | 150 | 1.5 | 19.6 | 2.25 | 29.4 |
| 7 | 200 | 2.5 | 69.6 | 6.25 | 174.0 |
| 8 | 210 | 3.5 | 79.6 | 12.25 | 278.6 |
| 9 | 250 | 4.5 | 119.6 | 20.25 | 538.2 |
Sum these values:
$$S_{xx} = 20.25 + 12.25 + 6.25 + 2.25 + 0.25 + 0.25 + 2.25 + 6.25 + 12.25 + 20.25 = 82.5$$
$$S_{xy} = 393.3 + 295.4 + 121.0 + 48.6 + 15.2 - 2.7 + 29.4 + 174.0 + 278.6 + 538.2 = 1890.0$$
5. **Calculate slope $b$ and intercept $a$:**
$$b = \frac{S_{xy}}{S_{xx}} = \frac{1890.0}{82.5} = 22.9091$$
$$a = \bar{y} - b\bar{x} = 130.4 - 22.9091 \times 4.5 = 130.4 - 103.0909 = 27.3091$$
6. **Regression line equation:**
$$y = 27.3091 + 22.9091x$$
7. **Predict number of bacterial cells after 15 hours:**
Substitute $x=15$:
$$y = 27.3091 + 22.9091 \times 15 = 27.3091 + 343.6365 = 370.9456$$
So, the predicted number of bacterial cells after 15 hours is approximately 371.
Regression Line 854E65
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