A chemical engineer is investigating the effect of process operating temperature on product yield.The study results in the following data: Temperature Yield 100 57.71 110 63.17 120 76.30 130 73.30 140 89.07 150 91.17 160 170 114.11 180 190 106.33 114.38 124.07 You can use Minitab to answer the following questions. However, you should be able to calculate the slope and intercept of the least squares regression model by hand, which requires only the mear and standard deviations of X and Y, and the correlation coefficient (here r = 0.9751). 1. what is the mean temperature? 155 150 130 145 Submit Answer Tries 0/2

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A chemical engineer is investigating the effect of process operating temperature on product yield. The study results in the following data:
Temperature Yield
100
57.71
110
63.17
120
76.30
130
73.30
140
89.07
150
91.17
160
170
114.11
106.33
180
190
114.38
124.07
You can use Minitab to answer the following questions. However, you should be able to calculate the slope and intercept of the least squares regression model by hand, which requires only the mear
and standard deviations of X and Y, and the correlation coefficient (here r = 0.9751).
1. what is the mean temperature?
155
150
130
145
Submit Answer Tries 0/2
Transcribed Image Text:A chemical engineer is investigating the effect of process operating temperature on product yield. The study results in the following data: Temperature Yield 100 57.71 110 63.17 120 76.30 130 73.30 140 89.07 150 91.17 160 170 114.11 106.33 180 190 114.38 124.07 You can use Minitab to answer the following questions. However, you should be able to calculate the slope and intercept of the least squares regression model by hand, which requires only the mear and standard deviations of X and Y, and the correlation coefficient (here r = 0.9751). 1. what is the mean temperature? 155 150 130 145 Submit Answer Tries 0/2
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