Survey: Number of ice cream sold by a local ice cream shop versus the temperature on that day for 12 days.
Ice Cream Sales vs Temperature
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Temperature °C Ice Cream Sales
(Y) (X)
14.2° $215
16.4° $325
11.9° $185
15.2° $332
18.5° $406
22.1° $522
19.4° $412
25.1° $614
23.4° $544
18.1° $421
22.6° $445
17.2° $408
Below is the scatter plot of the above data:

As we can see the data is following somewhat linear curve, we can use correlation/simple linear regression as our
evaluation method.
The correlation can be calculated using the formula –

From the above data we get –
,
,
,

So, the correlation will be –
![r = frac{95506.6-frac{4829 times 224.1}{12}}{sqrt{[2118025-frac{(4829)^{2}}{12}][4362.05-frac{(224.1)^{2}}{12}]}}](https://latex.codecogs.com/gif.latex?r%20%3D%20%5Cfrac%7B95506.6-%5Cfrac%7B4829%20%5Ctimes%20224.1%7D%7B12%7D%7D%7B%5Csqrt%7B%5B2118025-%5Cfrac%7B%284829%29%5E%7B2%7D%7D%7B12%7D%5D%5B4362.05-%5Cfrac%7B%28224.1%29%5E%7B2%7D%7D%7B12%7D%5D%7D%7D)
So, r = 0.9575.
This shows a very high linear relationship between the two variables.