Examlex

Solved

SCENARIO 14-11
a Weight-Loss Clinic Wants to Use Regression Analysis Y= Y=

question 324

Multiple Choice

SCENARIO 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= Y= Weight loss (in pounds)
X1= X_{1}= Length of time in weight-loss program (in months)
X2=1 X_{2}=1 if morning session, 0 if not
Data for 25 clients on a weight-loss program at the clinic were collected and used to fit the interaction model: Y=β0+β1X1+β2X2+β3X1X2+ε Y=\beta_{0}+\beta_{1} X_{1}+\beta_{2} X_{2}+\beta_{3} X_{1} X_{2}+\varepsilon

 Output from Microsoft Excel follows: \text { Output from Microsoft Excel follows: }

 Regression Statistics  Multiple R 0.7308 R Square 0.5341 Adjusted R Square 0.4675 Standard Error 43.3275 Observations 25\begin{array}{lr}{\text { Regression Statistics }} \\\hline \text { Multiple R } & 0.7308 \\\text { R Square } & 0.5341 \\\text { Adjusted R Square } & 0.4675 \\\text { Standard Error } & 43.3275 \\\text { Observations } & 25 \\\hline\end{array}

 ANOVA \text { ANOVA }
 SCENARIO 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)    X_{1}=   Length of time in weight-loss program (in months)    X_{2}=1   if morning session, 0 if not Data for 25 clients on a weight-loss program at the clinic were collected and used to fit the interaction model:   Y=\beta_{0}+\beta_{1} X_{1}+\beta_{2} X_{2}+\beta_{3} X_{1} X_{2}+\varepsilon     \text { Output from Microsoft Excel follows: }    \begin{array}{lr} {\text { Regression Statistics }} \\ \hline \text { Multiple R } & 0.7308 \\ \text { R Square } & 0.5341 \\ \text { Adjusted R Square } & 0.4675 \\ \text { Standard Error } & 43.3275 \\ \text { Observations } & 25 \\ \hline \end{array}    \text { ANOVA }       \begin{array}{lrrrrrrr} \hline & \text { Coefficients } & \text { Standard Error } & {t \text { Stot }} & \rho_{\text {-value }} & \text { Lower 99\% } & \text { Upper 99\% } \\ \hline \text { Intercept } & -20.7298 & 22.3710 & -0.9266 & 0.3646 & -84.0702 & 42.6106 \\ \text { Length } & 7.2472 & 1.4992 & 4.8340 & 0.0001 & 3.0024 & 11.4919 \\ \text { Morn } & 90.1981 & 40.2336 & 2.2419 & 0.0359 & -23.7176 & 204.1138 \\ \text { Length × Morn } & -5.1024 & 3.3511 & -1.5226 & 0.1428 & -14.5905 & 4.3857 \end{array}    -In a multiple regression model, the adjusted  r ^ { 2 }  A)  cannot be negative. B)  can sometimes be negative. C)  can sometimes be greater than +1. D)  has to fall between 0 and +1.

 Coefficients  Standard Error t Stot ρ-value  Lower 99%  Upper 99%  Intercept 20.729822.37100.92660.364684.070242.6106 Length 7.24721.49924.83400.00013.002411.4919 Morn 90.198140.23362.24190.035923.7176204.1138 Length × Morn 5.10243.35111.52260.142814.59054.3857\begin{array}{lrrrrrrr}\hline & \text { Coefficients } & \text { Standard Error } & {t \text { Stot }} & \rho_{\text {-value }} & \text { Lower 99\% } & \text { Upper 99\% } \\\hline \text { Intercept } & -20.7298 & 22.3710 & -0.9266 & 0.3646 & -84.0702 & 42.6106 \\\text { Length } & 7.2472 & 1.4992 & 4.8340 & 0.0001 & 3.0024 & 11.4919 \\\text { Morn } & 90.1981 & 40.2336 & 2.2419 & 0.0359 & -23.7176 & 204.1138 \\\text { Length × Morn } & -5.1024 & 3.3511 & -1.5226 & 0.1428 & -14.5905 & 4.3857\end{array}


-In a multiple regression model, the adjusted r2r ^ { 2 }


Definitions:

Intermediate Stage

This term refers to a middle phase in a process, development, or series, where significant progress has been made but the final goal has not yet been reached.

Idealize

To idealize is to regard or represent something as perfect or better than in reality, often ignoring possible flaws.

Grief

Grief is the intense emotional suffering or distress experienced as a result of loss, particularly the death of a loved one.

Caregivers

Individuals who provide care and assistance to those in need, such as children, the elderly, or the sick.

Related Questions