In the first-order linear regression model, the population parameters of the y-intercept and the slope are estimated by: A. b0 and β1b0 and β1 B. β^0 and β^1β^0 and β^1 C. β^1 and β^0β^1 and β^0 D. b1 and β0b1 and β0 In the simple linear regression model, the slope represents the: A. value of y when x = 0 B. value of x when y = 0 C. change in y per unit change in x D. change in x per unit change in y

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A: We know, Slope=∑ xy-1n∑ x∑ y∑ x2-1n∑ x2          =1687.9-115×53×582167.42-115×532          =18.567

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