Question

1. An article in a concrete research presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary quantities are: n = 14, ? yi = 572, ? yi" = 23,530, ? xi = 43, ? xi" = 157.42, and ? xi yi = 1697.80 Assume that the two variables are related according to the simple linear regression model. a) Calculate the least squares estimates of the slope. b) Calculate the least squares estimates of the intercept. c) Use the equation of the fitted line to predict what permeability would be observed when the compressive strength is x = 4.3.

          1. An article in a concrete research presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary quantities are: n = 14, ? yi = 572, ? yi" = 23,530, ? xi = 43, ? xi" = 157.42, and ? xi yi = 1697.80 Assume that the two variables are related according to the simple linear regression model. a) Calculate the least squares estimates of the slope. b) Calculate the least squares estimates of the intercept. c) Use the equation of the fitted line to predict what permeability would be observed when the compressive strength is x = 4.3.

1. An article in a concrete research presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary quantities are: n = 14, ? yi = 572, ? yi" = 23,530, ? xi = 43, ? xi" = 157.42, and ? xi yi = 1697.80 Assume that the two variables are related according to the simple linear regression model. a) Calculate the least squares estimates of the slope. b) Calculate the least squares estimates of the intercept. c) Use the equation of the fitted line to predict what permeability would be observed when the compressive strength is x = 4.3.

Added by Thomas W.

Question

Please give Ace some feedback