Examlex

Solved

SCENARIO 17-6
a Weight-Loss Clinic Wants to Use Regression Analysis

question 226

Multiple Choice

SCENARIO 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)  \begin{aligned} Y & = \text { Weight-loss (in pounds) } \\ X _ { 1 } & = \text { Length of time in weight-loss program (in months) } \\ X _ { 2 } & = 1 \text { if morning session, } 0 \text { if not } \\ X _ { 3 } & = 1 \text { if afternoon session, } 0 \text { if not } \quad \text { (Base level = evening session) } \end{aligned}
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\quad Y = \beta _ { 0 } + \beta _ { 1 } X _ { 1 } + \beta _ { 2 } X _ { 2 } + \beta _ { 3 } X _ { 3 } + \beta _ { 4 } X _ { 1 } X _ { 2 } + \beta _ { 5 } X _ { 1 } X _ { 3 } + \varepsilon

Partial output from Microsoft Excel follows:

 Regression Statistics  Multiple R 0.73514 R Square 0.540438 Adjusted R Square 0.157469 Standard Error 12.4147 Observations 12\begin{array}{ll}{\text { Regression Statistics }} \\\text { Multiple R } & 0.73514 \\\text { R Square } & 0.540438 \\\text { Adjusted R Square } & 0.157469 \\\text { Standard Error } & 12.4147 \\\text { Observations } & 12\end{array}

 ANOVA \text { ANOVA }
F=5.41118 Significance F=0.040201F=5.41118 \quad \text { Significance } F=0.040201

 Coeff  StdError t Stat P-value  Intercept 0.08974414.1270.00600.9951 Length (X1) 6.225382.434732.549560.0479 Morn Ses (X2) 2.21727222.14160.1001410.9235 Aft Ses (X3) 11.82333.15453.5589010.0165 Length*Morn Ses 0.770583.5620.2163340.8359 Length"Aft Ses 0.541473.359880.1611580.8773\begin{array}{ccccc} & \text { Coeff } & \text { StdError } & t \text { Stat } & P \text {-value } \\\text { Intercept } & 0.089744 & 14.127 & 0.0060 & 0.9951 \\\text { Length }\left(X_{1}\right) & 6.22538 & 2.43473 & 2.54956 & 0.0479 \\\text { Morn Ses }\left(X_{2}\right) & 2.217272 & 22.1416 & 0.100141 & 0.9235 \\\text { Aft Ses }\left(X_{3}\right) & 11.8233 & 3.1545 & 3.558901 & 0.0165 \\\text { Length*Morn Ses } & 0.77058 & 3.562 & 0.216334 & 0.8359 \\\text { Length"Aft Ses } & -0.54147 & 3.35988 & -0.161158 & 0.8773\end{array}


-Referring to Scenario 17-6, what is the experimental unit for this analysis?


Definitions:

Bipolar Disorder

A mental health condition characterized by extreme mood swings that include emotional highs (mania or hypomania) and lows (depression).

Biomedical

Relating to both biology and medicine, particularly in the context of research, diagnostics, and treatment of diseases.

Wheelchair

A chair mounted on wheels designed for the use of a person who is unable to walk due to illness, injury, or disability.

Unsure

Feeling doubtful or lacking confidence in something or someone; not certain.

Related Questions