Answer:
B.) 0.708
Explanation:
Given the following data :
Cost of advertising (in thousands of $) (x) :
9
2
3
4
2
5
9
10
Number of product sold (in thousands of $) (y) :
85
52
55
68
67
86
83
73
Using the pearson Coefficient of correlation calculator, the correlation Coefficient obtained for the data above is : 0.7077 = 0.708 (3 decimal places).
This depicts a strong positive correlation between the cost of advertising and the number of product sold as the correlation Coefficient is both positive and close to 1. This means payibg a high cost for advert will almost usually result in a corresponding increase in the number of products sold.