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The Viscosity (Y) of an Oil Was Measured by a Cone

question 66

Essay

The viscosity (y) of an oil was measured by a cone and plate viscometer at six different cone speeds (x). It was assumed that a quadratic regression model was appropriate, and the estimated regression function resulting from the n=6 observations was y=113.0937+3.3684x.01780x2y = - 113.0937 + 3.3684 x - .01780 x ^ { 2 }
a. Estimate μy.75\mu _ { y .75 }
, the expected viscosity when speed is 75 rpm.
b. What viscosity would you predict for a cone speed of 60 rpm.
c. If Σyi2=8386.43,Σyi=210.70,Σxiyi=17,002.00\Sigma y _ { i } ^ { 2 } = 8386.43 , \Sigma y _ { i} = 210.70 , \Sigma x _ { i } y _ { i } = 17,002.00
and Σxi2yi=1,419,780\Sigma x _ { i} ^ { 2 } y _ { i } = 1,419,780
compute SSE  [Recall that SSS=Σyi2β^0Σyiβ^1Σxiyiβ^2Σxi2yi],s2, and s. \text { [Recall that } \left. S S S = \Sigma y _ { i } ^ { 2 } - \hat { \beta } _ { 0 } \Sigma y _ { i } - \hat { \beta }_1 \Sigma x _ { i } y _ { i } - \hat { \beta } _ { 2 } \Sigma x _ { i } ^ { 2 } y _ { i } \right] , \quad s ^ { 2 } \text {, and s. }
d. From part ( c ), SST=8386.43(210.70)2/6=987.35.\operatorname { SST } = 8386.43 - ( 210.70 ) ^ { 2 } / 6 = 987.35 .
Using SSE computed in part ( c ), what is the computed value of R2?R ^ { 2 } ?
e. If the estimated standard deviation of  The viscosity (y) of an oil was measured by a cone and plate viscometer at six different cone speeds (x). It was assumed that a quadratic regression model was appropriate, and the estimated regression function resulting from the n=6 observations was  y = - 113.0937 + 3.3684 x - .01780 x ^ { 2 }   a. Estimate  \mu _ { y .75 }   , the expected viscosity when speed is 75 rpm.  b. What viscosity would you predict for a cone speed of 60 rpm. c. If  \Sigma y _ { i } ^ { 2 } = 8386.43 , \Sigma y _ { i} = 210.70 , \Sigma x _ { i } y _ { i } = 17,002.00   and  \Sigma x _ { i} ^ { 2 } y _ { i } = 1,419,780   compute SSE  \text { [Recall that } \left. S S S = \Sigma y _ { i } ^ { 2 } - \hat { \beta } _ { 0 } \Sigma y _ { i } - \hat { \beta }_1 \Sigma x _ { i } y _ { i } - \hat { \beta } _ { 2 } \Sigma x _ { i } ^ { 2 } y _ { i } \right] , \quad s ^ { 2 } \text {, and s. }   d. From part ( c ),  \operatorname { SST } = 8386.43 - ( 210.70 ) ^ { 2 } / 6 = 987.35 .   Using SSE computed in part ( c ), what is the computed value of  R ^ { 2 } ?   e. If the estimated standard deviation of    at level .01.
at level .01.


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