QUESTION IMAGE
Question
the accompanying data are the heart rates (in beats per minute) and qt intervals (in milliseconds) for 13 males. the qt interval is a measure of electrical waves of the heart. a lengthened qt interval can indicate heart health problems. find the equation of the regression line. then construct a scatter plot of the data and draw the regression line. then use the regression equation to predict the value of y for each of the given x - values. if meaningful. if the x - value is not meaningful to predict the value of y, explain why not.
(a) ( x = 120 ) bpm
(b) ( x = 68 ) bpm
(c) ( x = 90 ) bpm
(d) ( x = 84 ) bpm
click the icon to view the table of heart rates and qt intervals.
the equation of the regression line is ( hat{y}=square x+square ).
(round to two decimal places as needed.)
heart rates and qt intervals
heart rate, x qt interval, y
61 403
74 363
63 381
70 367
83 342
98 316
67 400
65 384
85 342
78 378
94 328
76 376
88 350
print
done
First, list the paired data (x: heart rate, y: QT interval):
(61,403), (74,363), (63,381), (70,367), (83,342), (98,316), (67,400), (65,384), (85,342), (78,378), (94,328), (76,376), (88,350)
Step1: Calculate sums
$n=13$
$\sum x = 61+74+63+70+83+98+67+65+85+78+94+76+88 = 1002$
$\sum y = 403+363+381+367+342+316+400+384+342+378+328+376+350 = 4630$
$\sum xy = 61×403 + 74×363 + ... +88×350 = 359158$
$\sum x^2 = 61^2+74^2+...+88^2 = 79156$
Step2: Compute slope $b_1$
$b_1 = \frac{n\sum xy - \sum x \sum y}{n\sum x^2 - (\sum x)^2} = \frac{13×359158 - 1002×4630}{13×79156 - 1002^2} ≈ -1.23$
Step3: Compute intercept $b_0$
$\bar{x} = \frac{1002}{13} ≈77.08$, $\bar{y} = \frac{4630}{13}≈356.15$
$b_0 = \bar{y} - b_1\bar{x} ≈356.15 - (-1.23)×77.08≈449.06$
Step4: Predict for valid x
(a) x=120 is outside data range (61-98): invalid
(b) x=68 is within range: $\hat{y}=-1.23×68+449.06≈367.02$
(c) x=90 is within range: $\hat{y}=-1.23×90+449.06≈338.36$
(d) x=84 is within range: $\hat{y}=-1.23×84+449.06≈341.42$
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Regression equation: $\hat{y}=-1.23x + 449.06$
(a) Not meaningful (x outside data range)
(b) 338.36
(c) 367.02
(d) 341.42
(Note: Exact values may vary slightly with rounding during calculations.)