To calculate the correlation coefficient, we first need to find the mean (average) of both the temperature and number of cones.
Mean of temperature:
(68 + 77 + 83 + 85 + 94 + 96 + 99) / 7 = 762 / 7 = 108.86 (approximately)
Mean of number of cones:
(403 + 447 + 457 + 465 + 489 + 503 + 543 + 576) / 8 = 3883 / 8 = 485.375
Now, we calculate the correlation coefficient:
r = Σ[(x(i) - x̄)(y(i) - ȳ)] / sqrt[Σ(x(i) - x̄)^2 * Σ(y(i) - ȳ)^2]
Using the data points:
x = temperature, y = number of cones
x̄ = 108.86, ȳ = 485.375
r = [(68 - 108.86)(403 - 485.375) + (77 - 108.86)(447 - 485.375) + ... + (99 - 108.86)(576 - 485.375)] / sqrt[((68 - 108.86)^2 + ... + (99 - 108.86)^2)((403 - 485.375)^2 + ... + (576 - 485.375)^2)]
After the calculations, the correlation coefficient is approximately 0.956. Therefore, the correct answer is:
0.956