Question: Use the information provided in the previous exercise to answer the following questions. a. Here are the values of x 9 = log(x) and y

Use the information provided in the previous exercise to answer the following questions.

a. Here are the values of x9 = log(x) and y9 = log(y):

x' 0.70 1.00 1.18 1.30 1.40 1.48 1.65 1.78 y' 1.21 0.99

Construct a scatterplot of these transformed data, and comment on the pattern.

b. Based on the accompanying MINITAB output, does the least-squares line effectively summarize the relationship between y9 and x9?

0.91 0.62 0.53 0.46 0.28 0.11 The regression equation is log (moisture)

c. Use the MINITAB output to predict moisture content when frying time is 35 sec.

Previous exercises

The following data on x = Frying time (in seconds) and y = Moisture content (%) appeared in the paper ?Thermal and Physical Properties of Tortilla Chips as a Function of Frying Time? (Journal of Food Processing and Preservation [1995]: 175 ?189):

= 2.02 - 1.05 log (time) Predictor Coef SE Coef Constant 2.01780

x' 0.70 1.00 1.18 1.30 1.40 1.48 1.65 1.78 y' 1.21 0.99 0.91 0.62 0.53 0.46 0.28 0.11 The regression equation is log (moisture) = 2.02 - 1.05 log (time) Predictor Coef SE Coef Constant 2.01780 0.09584 21.05 0.000 log (time) -1.05171 0.07091 -14.83 0.000 S = 0.0657067 R-Sq = 97.3% R-Sq (adj) = 96.98 Analysis of Variance Source DF MS Regression 1 0.94978 0.94978 219.99 0.000 Residual Error 6 0.02590 0.00432 Total 7 0.97569

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a The relationship between logx and log y seems to be linear b The value of r 2 is large 0973 ... View full answer

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