A lap top computer company has determined that the demand for its laptop computer is very much related to the size of the student population in a location. They have identified eight different locations and collected data on student population size and number of computers sold in those locations (see below) in order to predict the demand for computers (in hundreds) on the basis of student population size (in hundreds) Locations Computer demand (in hundreds) Student size (in hundreds) 1 2 3 4 5 6 7 8 8 10 14 8 11 13 13 16 156 199 205 229 169 200 175 185 a) Using the given data, the least-squares regression equation for predicting the demand for computers is (round your responses to two decimal places) 90+0x where Estimated Dependent Variable and x = Independent Variable (round your response to two decimal places. b) The coefficient of correlation for the least-squares regression model For the least-squares model, the standard error of the estimate $(round your response to two decimal places)