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PSM · Biostatistics: interpreting a regression coefficient
Sample itemA regression of systolic blood pressure on age in adults gives the equation: systolic pressure = 90 + 0.8 x age. How should the coefficient 0.8 be interpreted?
Original practice item, not a recalled exam question. Nothing here is recorded.
The answer and the reasoning
C. Mean systolic pressure rises by 0.8 mmHg for each extra year of age
In a simple linear regression the coefficient of the independent variable is the slope, the average change in the dependent variable for a one-unit increase in the predictor. Here that is 0.8 mmHg per year of age. The proportion of variance explained is given by the square of the correlation coefficient, which is a different quantity.
Option by option
A. 80% of the variation in pressure is explained by age
Variance explained is given by r squared and not by the slope.
B. Systolic pressure rises by 0.8 mmHg for each 10 years of age
The unit of change is one year, not ten years.
C. Mean systolic pressure rises by 0.8 mmHg for each extra year of age (correct)
Correct. The slope gives the mean change per unit of the predictor.
D. The correlation between age and pressure is 0.8
The slope depends on the units of both variables and is not the correlation coefficient.
Source note: Original NextPrep sample item — pending expert review. This item is original practice material awaiting independent expert review, so confirm important facts in a standard textbook.
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