6. Answer the following statements as True or False. (a) The linear correlation coefficient is used to determine the equation that represents the relationship between two variables. (b) The slope of the regression line, b = 1 means that the two variables are perfectly correlated. (c) Correlation coefficients should range between -1 and +1 inclusive. (d) A correlation coefficient of 0.99 indicates a strong causal relationship between the variables under consideration. (e) An r value less than zero indicates that ordered pairs with high x-values will have low y-values. (f) If x and y are independent, then the population correlation coefficient equals zero. (9) The y-intercept represents the amount change in the dependent variable when there is no change in the independent variable. (h) When r is positive, b could be negative. (i) The slope of the regression line represents the amount of change that is expected to take place in Y when X changes by one unit. (j) The two coefficients of the regression line always have the same sign