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Find: A. r (coefficient value) B. the type of relationship the variables have C. Cre-a-te a scatterplot (show the solu-tions) Use Exel example, consider the

Find:

A. r (coefficient value)

B. the type of relationship the variables have

C. Cre-a-te a scatterplot (show the solu-tions) Use Exel

image text in transcribed
example, consider the number of cellular phone subscribers (x) from 1989 to 199 Cation as spurio st economic variables. To illustrate the point period. us, together with the total gross revenue (y) of the top 100 US law firms over the Year Cell phone subscribers (in thousands) Top U.S. law firms gross 1989 revenue (in million dollar 3 508.9 1990 12 400 5 283.1 13 500 1991 7 557.1 13 900 1992 11 032.8 14 300 1993 16 009.5 14 600 1994 24 134.4 15 300 1995 33 785.7 16 200 1996 44 000.0 18 000 1 Ecens h. winpu. Un the other hand, # p s.Quit does not imply that tire two variables tore pendence. It only implies that the variables have to linear deventerce. Figure 651 puss tow different rios for the correlation between two continuous weiables Strong Positive Correlation strong Negative Correlation 30 10 20 10 2 -10 -20 -30 6 10 No Dependence Quadratic Dependence and Correlation and No Correlation b 20 D D N -20 -40 -60 2 2 4 6 8 10 FIGURR 6.5.4

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