CHAPTER 11

Section 11-2

11-1.    a)   yi= β0 + β1xi+ Imagei

Image

b)   ŷ = Image0 + Image1x

ŷ = 48.012962−2.3298017(4.3)

   = 37.99

c)   ŷ = 48.012962−2.3298017(3.7) = 39.39

d)   e = yŷ = 46.1 − 39.39 = 6.71

11-3.    a)   Regression Analysis: Rating Pts versus Yds per Att

The regression equation is Rating Pts = 14.2 + 10.1 Yds per Att Predictor      Coef  SE Coef     T      P Constant     14.195    9. 059  1.57  0.128 Yds per Att  10.092    1.288  7.84  0.000 S = 5.21874    R-Sq = 67.2%    R-Sq(adj) = 66.1% Analysis of Variance Source          DF       SS       MS       F       P Regression       1   1672.5   1672.5   61.41   0.000 Residual Error  30    817.1     27.2 Total           31   2489.5

yi = β0 + β1xi+Imagei

Image

Image

b)   ŷ =14.2+10.1(7.5) = 89.95

c)   −1 = −10.1

d)   

e)   ŷ = 14.2 + 10.1(7.21) = 87.02 ...

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