In: Statistics and Probability
Consider the following sample data for the relationship between advertising budget and sales for
Product A: Observation 1 2 3 4 5 6 7 8 9 10
Advertising ($) 100,000 110,000 110,000 120,000 130,000 130,000 140,000 150,000 150,000 160,000
Sales ($) 603,000 676,000 655,000 748,000 796,000 785,000 858,000 891,000 935,000 980,000
What is the correlation value for the relationship between advertising and sales?
Please round your answer to the nearest hundredth. Note that the correct answer will be evaluated based on the full-precision result you would obtain using Excel.
x | y | (x-x̅)² | (y-ȳ)² | (x-x̅)(y-ȳ) |
100000 | 603000 | 900000000.00 | 35986090000.00 | 5691000000.00 |
110000 | 676000 | 400000000.00 | 13618890000.00 | 2334000000.00 |
110000 | 655000 | 400000000.00 | 18961290000.00 | 2754000000.00 |
120000 | 748000 | 100000000.00 | 1998090000.00 | 447000000.00 |
130000 | 796000 | 0.00 | 10890000.00 | 0.00 |
130000 | 785000 | 0.00 | 59290000.00 | 0.00 |
140000 | 858000 | 100000000.00 | 4264090000.00 | 653000000.00 |
150000 | 891000 | 400000000.00 | 9662890000.00 | 1966000000.00 |
150000 | 935000 | 400000000.00 | 20249290000.00 | 2846000000.00 |
160000 | 980000 | 900000000.00 | 35081290000.00 | 5619000000.00 |
ΣX | ΣY | Σ(x-x̅)² | Σ(y-ȳ)² | Σ(x-x̅)(y-ȳ) | |
total sum | 1300000 | 7927000 | 3600000000 | 139892100000.0 | 22310000000.0 |
mean | 130000.00 | 792700.00 | SSxx | SSyy | SSxy |
correlation coefficient , r = Sxy/√(Sx.Sy) = 0.9941
nearest hundredth = 0.99
thanks
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