1. If the linear correlation coefficient of two variables is zero, then there is no _______________ relationship between the variables. A linear correlation coefficient of 0.92 suggests a ________________ linear relationship than a linear correlation coefficient of -0.86. The value of the ___________________ always lies between -1 and 1, inclusive. If the linear correlation coefficient of the regression line is negative, then the ____________________ of the least squares (linear) regression line must be negative. Give a detailed interpretation of the slope of a least squares (linear) regression line. Give a detailed interpretation of the intercept of a least squares (linear) regression line. Give a detailed interpretation of the coefficient of determination (R^2). Give two different methods to determine if a linear regression line fits data best. Describe in detail within each method what trends or information would constitute a lack of fit for any linear regression model.