Variable Family Income

Question

The following table includes data about the height, in inches, of adult males and   the height of their parents. Son’s Height Mother’s Height Father’s Height   62.2 66 70 64.6 58 69 69.1 66 64 73.9 68 71 67.1 64 68 64.4 62 66 71.1 66 74   70.0 63 73 67.4 64 62 69.3 65 69 64.9 64 67 68.1 64 80 66.5 62 72 67.5 69 66   66.5 62 72

(a.) Use your calculator to do scatter plots for these data. Which   is the independent variable? Which is the dependent variable? Describe what   the plot looks like. Are there any outliers?

(b.) From your plot(s) can you tell if there is a relationship between the heights of sons and their parents? Is the relationship between the son and his mother or father greater than the other? How can you tell? What are the correlations?    

Question

Use linear approximation, i.e. the tangent line, to approximate (1.4)^(1/3)

Question

This is movie data!! (Total receipts) y-variable : 5, 4.8, 4.9, 5.2 , 5.4, 5.5 , 5.9, 6.4 , 7.0, 7.5, 7.7 , 8.4 , 9.5 (Total attendance) X-variable : 1.18 , 1.14, 1.17, 1.24, 1.29, 1.26, 1.34, 1.39, 1.48, 1.47, 1.43, 1.49, 1.64

Question A) Briefly characterize the correlation in words and estimate the correlation coefficient.

B) How does the fact that the price of movies has increased from 1990 to 2002 affect these data ? and if you were a movie executive, what general conclusions from these data would be important to you?