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

question 18

Multiple Choice

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?

• A) The odds ratios
• B) The Hosmer-Lemeshow results
• C) The Nagelkerke R² results
• D) The classification results

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Definitions:

Type II Error

The statistical error that occurs when one fails to reject a false null hypothesis.

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