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):

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?

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):

Transcribed Image Text:

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