Let x be per capita income in thousands of dollars. Let y be the number of medical doctors per 10,000 residents. Six small cities in Oregon gave the following information about x and y. x 8.7 9.2 9.8 8.0 8.3 8.7 y 9.9 18.1 20.2 10.2 11.4 13.1 Complete parts (a) through (e), given Σx = 52.7, Σy = 82.9, Σx2 = 464.95, Σy2 = 1239.27, Σxy = 740.8, and r ≈ 0.909. (b) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to three decimal places.) Σx =   Σy =   Σx2 =   Σy2 =   Σxy =   r =   (c) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answers for x and y to two decimal places. Round your answers for a and b to three decimal places.)

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Let x be per capita income in thousands of dollars. Let y be the number of medical doctors per 10,000 residents. Six small cities in Oregon gave the following information about x and y.

x 8.7 9.2 9.8 8.0 8.3 8.7
y 9.9 18.1 20.2 10.2 11.4 13.1

Complete parts (a) through (e), given Σx = 52.7, Σy = 82.9, Σx2 = 464.95, Σy2 = 1239.27, Σxy = 740.8, and r ≈ 0.909.

(b) Verify the given sums Σx, Σy, Σx2, Σy2, Σxy, and the value of the sample correlation coefficient r. (Round your value for r to three decimal places.)

Σx =  
Σy =  
Σx2 =  
Σy2 =  
Σxy =  
r =  


(c) Find x, and y. Then find the equation of the least-squares line = a + bx. (Round your answers for x and y to two decimal places. Round your answers for a and b to three decimal places.)

x =
y =
  = + x
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