Suppose a local university researcher wants to build a linear model that predicts the freshman year GPA of incoming students based on high school SAT scores. The researcher randomly selects a sample of 40 sophomore students at the university and gathers their freshman year GPA data and the high school SAT score reported on each of their college applications. He produces a scatterplot with SAT scores on the horizontal axis and GPA on the vertical axis. The data has a linear correlation coefficient of 0.503202. Additional sample statistics are summarized in the table below. Variable Sample Sample standard Variable description deviation mean high school SAT score x = 1501.717708 Sx = 104.141305 y freshman year GPA y = 3.300318 Sy = 0.451901 r = 0.503202 Determine the slope, b, of the least squares regression line for this data. Give your answer precise to four decimal places. Avoid rounding until the last step. b =