QUESTION IMAGE
Question
- the data in the table below shows the average temperature in northern latitudes:
| latitude (°n) | temp (°f) |
|---|---|
| 10 | 81 |
| 20 | 79 |
| 30 | 68 |
| 40 | 58 |
| 50 | 43 |
| 60 | 28 |
| 70 | 13 |
| 80 | 1 |
a) find the line of best fit:
b) estimate the average temperature for a city with a latitude of 48°.
Step1: Calculate necessary sums
Let \( x \) be Latitude (\(^\circ\)N) and \( y \) be Temp (\(^\circ\)F).
\( n = 8 \)
\( \sum x = 0 + 10 + 20 + 30 + 40 + 50 + 60 + 70 + 80 = 360 \) (Wait, no, count the rows: 0,10,20,30,40,50,60,70,80? Wait the table has 9 rows? Wait the given data: Latitude 0,10,20,30,40,50,60,70,80 (9 points). So \( n = 9 \)
\( \sum x = 0 + 10 + 20 + 30 + 40 + 50 + 60 + 70 + 80 = 360 \)
\( \sum y = 79 + 81 + 79 + 68 + 58 + 43 + 28 + 13 + 1 = 440 \)
\( \sum xy = 0*79 + 10*81 + 20*79 + 30*68 + 40*58 + 50*43 + 60*28 + 70*13 + 80*1 \)
\( = 0 + 810 + 1580 + 2040 + 2320 + 2150 + 1680 + 910 + 80 = 11570 \)
\( \sum x^2 = 0^2 + 10^2 + 20^2 + 30^2 + 40^2 + 50^2 + 60^2 + 70^2 + 80^2 \)
\( = 0 + 100 + 400 + 900 + 1600 + 2500 + 3600 + 4900 + 6400 = 20400 \)
Step2: Calculate slope (\(m\)) and intercept (\(b\))
Slope \( m = \frac{n\sum xy - \sum x \sum y}{n\sum x^2 - (\sum x)^2} \)
\( m = \frac{9*11570 - 360*440}{9*20400 - 360^2} \)
\( 9*11570 = 104130 \), \( 360*440 = 158400 \), numerator \( = 104130 - 158400 = -54270 \)
\( 9*20400 = 183600 \), \( 360^2 = 129600 \), denominator \( = 183600 - 129600 = 54000 \)
\( m = \frac{-54270}{54000} \approx -1.005 \) (approx -1.01)
Intercept \( b = \frac{\sum y - m\sum x}{n} \)
\( b = \frac{440 - (-1.005)*360}{9} \)
\( (-1.005)*360 = -361.8 \), \( 440 + 361.8 = 801.8 \)
\( b = \frac{801.8}{9} \approx 89.09 \)
So line of best fit: \( y = -1.005x + 89.09 \) (or \( y \approx -x + 89 \) for simplicity)
Step3: Estimate temp at \( x = 48 \)
Using \( y = -x + 89 \) (approximate from line of best fit)
\( y = -48 + 89 = 41 \)
(Using more accurate \( m \approx -1.005 \), \( y = -1.005*48 + 89.09 \approx -48.24 + 89.09 \approx 40.85 \approx 41 \))
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a) Line of best fit: \( y \approx -1.01x + 89.1 \) (or \( y \approx -x + 89 \))
b) Estimated temperature: \( \approx 41^\circ\text{F} \)