all questions to be answered please with clear working

Chapter 16 1. Let's assume men's heights and weights are correlated and the r is 0.31. Given the following descriptive statistics: the mean height is 5'7 (67 inches) with a standard deviation of 6 inches, and the mean weight is 1651b with a standard deviation of 5 lb. Blake is 5 feet (60 inches) tall. How much would you predict he weighs? 2. Suppose that engineering major students' GPA is related to their IQ score, with a Pearson correlation coefficient of 0.42. What is the regression equation for the following set of data? Let "x" represent GPA score and "y" for IQ score. xy 0.42 SDx 0.93 SDy 12 Mx 3.68 My 95 3. What is the proportion of variance in the dependent variable that is accounted for by the independent variable? Coefficients Standardized Unstandardized Coefficients Coefficients Model B Std. Error Beta Sig (Constant) 8286.786 1852.256 4.474 000 Income 564 .074 .873 7.598 000 a. Dependent Variable: Price