TABLE 14-11 A Weight-Loss Clinic Wants to Use Regression Analysis to Build

question 162

Multiple Choice

TABLE 14-11
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 + β₅X₁X₂ + ε
Partial output from Microsoft Excel follows:

-Referring to Table 14-11, which of the following statements is supported by the analysis shown?

• A) There is sufficient evidence (at α = 0.05) of curvature in the relationship between weight-loss (
• Y) and months in program(X₁).
• B) There is sufficient evidence (at α = 0.05) to indicate that the relationship between weight-loss (
• Y) and months in program (X₁) depends on session time.
• C) There is sufficient evidence (at α = 0.10) to indicate that the session time (morning, afternoon, evening) affects weight-loss (
• Y).
• D) There is insufficient evidence (at α = 0.10) to indicate that the relationship between weight-loss (
• Y) and months in program(X₁) depends on session time.

Be familiar with the guidelines for patient preparation and considerations for specific medical tests.

Understand the significance of pulse oximetry readings in evaluating patient health.

Recognize symptoms and indicators for specific health conditions requiring medical attention.

Understand the professional approach and the nurse's role in addressing patients' sexual health and behaviors.

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