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How do you interpret the slope and y intercept in a real world case?
The graph and accompanying table shown here display 12 observations of a pair of variables (x, y).The variables x and y are positively correlated, with a correlation coefficient of r = 0.97.What is the slope, b, of the least squares regression line, y = a + bx, for these data? Round your answer to the nearest hundredth.2.04 - 2.05
line that measures the slope between dependent and independent variables
It guarantees that the slope and intercept are minimized.