
TABLE 15-3
A chemist employed by a pharmaceutical firm has developed a muscle relaxant. She took a sample of 14 people suffering from extreme muscle constriction. She gave each a vial containing a dose (X) of the drug and recorded the time to relief (Y) measured in seconds for each. She fit a "centered" curvilinear model to this data. The results obtained by Microsoft Excel follow, where the dose (X) given has been "centered."
-Referring to Table 15-3, suppose the chemist decides to use a t test to determine if there is a significant difference between a linear model and a curvilinear model that includes a linear term. If she used a level of significance of 0.01, she would decide that the linear model is sufficient.
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Q1: Collinearity will result in excessively low standard
Q6: The parameter estimates are biased when collinearity
Q15: One of the consequences of collinearity in
Q27: TABLE 15-3
A chemist employed by a pharmaceutical
Q28: TABLE 15-3
A chemist employed by a pharmaceutical
Q29: A high value of R² significantly above
Q33: TABLE 15-3
A chemist employed by a pharmaceutical
Q34: TABLE 15-3
A chemist employed by a pharmaceutical
Q37: In multiple regression,the _ procedure permits variables
Q37: TABLE 15-3
A chemist employed by a pharmaceutical
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