You have the results of a simple linear regression based on state-level data and the District of Columbia, a total of N = (a) The estimated error variance 2 = 2.00. What is the sum of the squared least squares residuals? (b) The estimated variance of b₂ is 0.25, what is the standard error of b₂? What is the value of ✗(xi — ñ)²? - = 52 observations. (c) Suppose the dependent variable y; is the state's mean income (in thousands of dollars) of males who are 18 years of age or older and percentage of males 18 years or older who are high school graduates. Interpret the slope estimate 62 = 0.10. (d) Suppose = 50.00 and y = 10.00, what is the estimate of the intercept parameter? (e) Given the results in (b) and (d), what is Σx?? Ꮖ ; the (f) For the state of Arkansas the value of yi parts (c) and (d)). = 12 and the value of xi = 60. Compute the least squares residual for Arkansas. (Hint: Use the information in