Question: 3 Refer to the data in Table 9.13 in Problem 9.17, Let Y = crude burth rate, X = women's economic activity, and X2 =

3 Refer to the data in Table 9.13 in Problem 9.17, Let Y = crude burth rate, X = women's economic activity, and X2 = GNP. The least squares equation is = 34.5313X- .64X2.

a) Interpret the estimated regression coefficients.

b) Plot on a single graph the relationship between Y and X, when X2 = 0. X = 10, and 20. Interpret the results. X

c) The bivanate prediction equation with X, is = 37.65-.31X1. The Pearson correla- tions are ryx, -.58. ryx = -.72. and rx,x: .58. Explain why the coefficient of X =

in the bivariate equation is so different from its value in the multiple predictor equation.

d) R = 56. Interpret.

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