A random sample of 195 students was selected from the United Kingdom using the Census at School data selector. The age x
(in years) and height y (in centimeters) were recorded for each student. Here is a scatterplot with the least-squares regression
line y-106.1 +4.21x. For this model, 5-8.61 and 2 = 0.274.
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Height (cm)
150
140
130
120
8888888
190
180
170
160
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13
10 11 12 13 14 15 16 17
Age (years)
Interpret the slope of the least-squares regression line
The slope is 4.21. The predicted height decreases by
4.21 centimeters for each additional 1 year increase
in the student's age.
The slope is 4.21. The predicted student's age
increases by 4.21 years for each additional 1 cm
increase in height.
The slope is 4.21. There is a weak, positive, linear
association between height and student's age.
The slope is 106.1. The predicted height increases
by 106.1 centimeters for each additional 1 year
increase in the student's age.
The slope is 4.21. The predicted height increases by
4.21 centimeters for each additional 1 year increase
in the student's age.