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During an advertising campaign, the number of commercials and the sales level were recorded for each of six different intervals: Commercials Sales 4 5 5 2 6 27 32 41 52 39 51 Compute the covariance and the coefficient of correlation to measure how the number of commercials (X) and sales level (Y) are related to one another. First, in the following table, check the box to the left of each quantity if you need to compute that quantity in order to find the coefficient of correlation. Then type in the correct value of each quantity that you will need. If you will not need the quantity, leave the value blank. Quantity Needed? Val ue ΣΥ CovWhat are these numbers telling you? There is a level of sales. When there are more commercials, sales levels tend to be linear relationship between the number of commercials shown and

Answer options to last part: Weak or nonexistent/strong, Positive/negative, only slightly lower/only slightly higher/higher/lower

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4 32 6 128 40 36 5 41 36825 84 5 5 52 25 234 260 13,5 2 39 52 8 30 42 6 51 34 6 3o 156 23 |242|107 |10,260 )1004145338 4-5398 10,2 60 100千 Σχ 799 = 3.138g 242 Xlo26 (24212 83 , 2222 x1oc 4(23) (242) 12.7222 = CvCXY) van(x). van Y) 3.1389 x 83.2222 2.3 222 0.787.There is strong, positive linear relationship between the number of commercials shown and level of sales. When are more commercials, sales levels tend to be only slightl higher.

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