Questions pertain to the following table (Table 12), which presents results for a fictitious logistic regression analysis predicting acute confusion in long-term care residents.
$\begin{array}{c}
\text { TABLE } 12\
\text { Predictors of Acute Confusion in Long-Term Care Residents }(N=2,100)\
\begin{array}{r}
\text { 95\% CI, Odds Ratio }\
\begin{array}{|l|c|c|c|c|c|}
\hline \text { Predictor }& \boldsymbol{b} & \text { SE }(b) & \text { Odds Ratio } & \text { Lower } & \text { Upper } \
\hline \text { Inadequate fluid intake } & 1.22 & .21 & 3.20 & 2.87 & 4.01 \
\text { Fell, past 30 days } & .45 & .20 & 1.68 & 1.37 & 2.05 \
\text { 5+ Medications } & .20 & .12 & 1.07 & .92 & 1.23 \
\text { Vision impairment } & .34 & .11 & 1.30 & 1.08 & 1.77 \
\hline
\end{array}\end{array}\end{array}$
Hosmer-Lemeshow chi-square $ =1.57, d f=5, p=.68 $
Nagelkerke $ R^{2}=.12 $
Percent correctly classified $ =68.9 \% $
-Refer to Table 12. What information in the table indicates that the overall predictive model was a sufficiently good fit to the data?

Question

Questions pertain to the following table (Table 12), which presents results for a fictitious logistic regression analysis predicting acute confusion in long-term care residents.
 $\begin{array}{c}
\text { TABLE } 12\
\text { Predictors of Acute Confusion in Long-Term Care Residents }(N=2,100)\
\begin{array}{r}
\text { 95\% CI, Odds Ratio }\
\begin{array}{|l|c|c|c|c|c|}
\hline \text { Predictor }& \boldsymbol{b} & \text { SE }(b) & \text { Odds Ratio } & \text { Lower } & \text { Upper } \
\hline \text { Inadequate fluid intake } & 1.22 & .21 & 3.20 & 2.87 & 4.01 \
\text { Fell, past 30 days } & .45 & .20 & 1.68 & 1.37 & 2.05 \
\text { 5+ Medications } & .20 & .12 & 1.07 & .92 & 1.23 \
\text { Vision impairment } & .34 & .11 & 1.30 & 1.08 & 1.77 \
\hline
\end{array}\end{array}\end{array}$
Hosmer-Lemeshow chi-square $ =1.57, d f=5, p=.68 $
Nagelkerke $ R^{2}=.12 $
Percent correctly classified $ =68.9 \% $
-Refer to Table 12. What information in the table indicates that the overall predictive model was a sufficiently good fit to the data?

Quizplus · Accepted Answer

The Hosmer-Lemeshow test is a goodness-of-fit test that assesses whether the observed frequencies of a binary outcome differ from the expected frequencies predicted by the logistic regression model. A nonsignificant result (p-value greater than .05) indicates that the model is a good fit to the data. In this case, the p-value of .68 indicates that the predictive model was a sufficiently good fit to the data. The Nagelkerke R-squared and classification results provide information on the overall performance and accuracy of the model, but do not specifically indicate whether the model is a good fit to the data. The odds ratios provide information about the strength and direction of the association between each predictor and the outcome, but do not indicate whether the model is a good fit to the data.

Questions Pertain to the Following Table (Table 12), Which Presents