x 10 12 14 16 18 20 y 1.8 1.7 1.6 1.4 1.0 0.7  given Σx = 90, Σy = 8.2, Σx2 = 1420, Σy2 = 12.14, Σxy = 115.2, and  r ≈ −0.9650   Find x, and y. Then find the equation of the least-squares line  = a + bx. (Round your answer to four decimal places.)      Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to four decimal places. Round your answers for the percentages to two decimal place.) r2 =   explained      % unexplained      %    Suppose a pharmaceutical company has 16 different research programs. What does the least-squares equation forecast for y = mean number of patents per program?    patents per program

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x 10 12 14 16 18 20

y 1.8 1.7 1.6 1.4 1.0 0.7

 given Σx = 90, Σy = 8.2, Σx2 = 1420, Σy2 = 12.14, Σxy = 115.2, and 

r ≈ −0.9650
 
Find x, and y. Then find the equation of the least-squares line  = a + bx. (Round your answer to four decimal places.)
 
 
 Find the value of the coefficient of determination r2. What percentage of the variation in y can be explained by the corresponding variation in x and the least-squares line? What percentage is unexplained? (Round your answer for r2 to four decimal places. Round your answers for the percentages to two decimal place.)
r2 =  
explained      %
unexplained      %

 

 Suppose a pharmaceutical company has 16 different research programs. What does the least-squares equation forecast for y = mean number of patents per program? 

 

patents per program

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Step 1

Given:

 

x y
10 1.8
12 1.7
14 1.6
16 1.4
18 1
20 0.7
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