16.4 9.7 8.1 4.1 3.4 3.0 1.8 1.3 No tortilla chip aficionado likes soggy chips, so it is important to find characteristics of the production process that produce chips with an appealing texture. The following data on x - frying time (sec) and y- moisture content (%) appeared in an article. 10 15 20 25 30 45 60

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No tortilla chip aficionado likes soggy chips, so it is important to find characteristics of the production process that produce chips with an appealing texture. The following data on x = frying time (sec) and y = moisture content (%) appeared in an article.
5
10 15 20
25 30 45 60
y 16.4 9.7 8.1 4.1 3.4 3.0 1.8 1.3
Transcribed Image Text:No tortilla chip aficionado likes soggy chips, so it is important to find characteristics of the production process that produce chips with an appealing texture. The following data on x = frying time (sec) and y = moisture content (%) appeared in an article. 5 10 15 20 25 30 45 60 y 16.4 9.7 8.1 4.1 3.4 3.0 1.8 1.3
(d) Predict the value of moisture content when frying time is 20, in a way that conveys information about reliability and precision. (Calculate a 95% PI. Round your answers to two decimal places.)
%,
(e) Analyze the residuals from fitting the simple linear regression model to the transformed data and comment. (Select all that apply.)
O The patterns in the residual plot and the normal probability plot are marginally acceptable.
O There are four positive standardized residuals.
O The patterns in the residuals plot and the normal probability plot are unacceptable.
O Looking at the residual versus fits, one standardized residual is a bit large.
O Looking at the residual versus fits, no standardized residuals look large.
O There are only two positive standardized residuals, but two others are essentially 0.
Transcribed Image Text:(d) Predict the value of moisture content when frying time is 20, in a way that conveys information about reliability and precision. (Calculate a 95% PI. Round your answers to two decimal places.) %, (e) Analyze the residuals from fitting the simple linear regression model to the transformed data and comment. (Select all that apply.) O The patterns in the residual plot and the normal probability plot are marginally acceptable. O There are four positive standardized residuals. O The patterns in the residuals plot and the normal probability plot are unacceptable. O Looking at the residual versus fits, one standardized residual is a bit large. O Looking at the residual versus fits, no standardized residuals look large. O There are only two positive standardized residuals, but two others are essentially 0.
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