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TABLE 17-6
A weight-loss clinic wants to use regression analysis to build a model for weight loss of a client (measured in pounds) .Two variables thought to affect weight loss are client's length of time on the weight-loss program and time of session.These variables are described below:
Y = Weight loss (in pounds)
X1 = Length of time in weight-loss program (in months)
X2 = 1 if morning session,0 if not
X3 = 1 if afternoon session,0 if not (Base level = evening session)
Data for 12 clients on a weight-loss program at the clinic were collected and used to fit the interaction model:
Y = β0 + β1X1 + β2X2 + β3X3 + β4X1X2 + β5X1X3 + ε
Partial output from Microsoft Excel follows:
Regression Statistics ANOVA
F = 5.41118 Significance F = 0.040201
-Referring to Table 17-6,what null hypothesis would you test to determine whether the slope of the linear relationship between weight loss (Y) and time in the program (X1) varies according to time of session?
NaCN
Sodium cyanide, a highly toxic chemical compound used primarily in gold mining, as well as in other industrial processes.
Methyl Magnesium Bromide
An organometallic compound used as a reagent in the formation of carbon-carbon bonds in organic synthesis.
Ethyl Acetate
An organic compound used as a solvent in many applications including printing inks, varnishes, and in the production of perfumes and fruits flavors.
Reaction Products
The final substances formed as a result of a chemical reaction, determined by the reactants and conditions of the reaction.
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