TEAS Predicting Relationships Practice Questions

5 free Predicting Relationships practice questions

Pick an answer and check it to see the full step-by-step explanation.

1. Question 1
   A nurse reviews a scatterplot of a unit’s average room temperature (x-axis) versus the number of patient call-light activations per hour (y-axis) over 20 shifts. The points form a U-shaped pattern: call-light use is higher at both low and high temperatures, and lowest at moderate temperatures. What best describes the relationship between X and Y?

   Strong positive linear correlationNo relationship; the points are randomly scatteredNonlinear relationship (curvilinear pattern)Strong negative linear correlation

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2. Question 2
   A nurse is reviewing a scatterplot of patients’ daily sodium intake (x-axis, mg/day) versus their systolic blood pressure (y-axis, mmHg). The points generally rise from left to right and cluster around a straight line, but one point lies far above the rest at a mid-range sodium intake. Which interpretation is best?

   A cause-and-effect relationship is proven because the pattern is linearPositive linear association with a possible outlierNo association because one point does not fit the patternNegative linear association with no outliers

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3. Question 3
   A nurse educator plots a scatterplot of patients’ body temperature (x-axis, °C) versus heart rate (y-axis, beats/min) measured at the same time during a febrile illness. The points generally rise from left to right in an approximately straight-line pattern, but one point shows a very high heart rate at a near-normal temperature. Which interpretation is best?

   There is a negative linear association overall, and the unusual point is likely a measurement errorThere is no association overall because one point does not follow the trendThe scatterplot proves that fever causes tachycardia in all patientsThere is a positive linear association overall, and the unusual point may be an outlier due to another factor affecting heart rate

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4. Question 4
   A hospital uses a statistical model to predict how many patients will develop influenza-like illness over the next 2 weeks. Which action best improves the model’s usefulness for making predictions while acknowledging its limitations?

   Use only last year’s data because older data are more reliable than recent observationsUpdate the model with current local case counts and report predictions as a range with stated assumptionsRemove variables such as vaccination rates because they make the model less certainTreat the model’s output as exact and stop collecting new surveillance data until the 2 weeks are over

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5. Question 5
   A nurse manager uses a predictive model to estimate next week’s emergency department visits during a regional heat wave. Which action best improves the reliability of the model’s predictions while acknowledging its limitations?

   Ignore factors like humidity and air quality because they introduce uncertainty into the modelValidate the model by comparing its past predictions to actual visit counts and revise it if performance is poorUse the model’s estimate as a single exact number because scientific models are designed to be preciseAssume the same visit rate as last week since short time frames do not require modeling

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