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Question
NARRBEGIN: SA_114_118Many companies manufacture products that are at least partially produced using chemicals (for example, paint). In many cases, the quality of the finished product is a function of the temperature and pressure at which the chemical reactions take place. Suppose that a particular manufacturer in Texas wants to model the quality (Y) of a product as a function of the temperature
and the pressure 
at which it is produced. The table below contains data obtained from a designed experiment involving these variables. Note that the assigned quality score can range from a minimum of 0 to a maximum of 100 for each manufactured product.
NARREND
(A) Estimate a multiple regression model that includes the two given explanatory variables. Assess this set of explanatory variables with an F-test, and report a p-value.
(B) Conduct a partial F-test to decide whether it is worthwhile to add second-order terms (i.e.,
) to the multiple regression equation estimated in Question 114. Employ a 5% significance level in conducting this hypothesis test.(C) Identify and interpret the percentage of variance explained for the model in (A).
(D) Identify and interpret the percentage of variance explained for the model in (B).
(E) Which regression equation is the most appropriate one for modeling the quality of the given product? Bear in mind that a good statistical model is usually parsimonious.
Answer
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NARREND
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