The following data were obtained in a study of the relation between diastolic bl

Question

The following data were obtained in a study of the relation between diastolic blood pressure and age for boys 5 to 13 years old:

i: 1 2 3 4 5 6 7 8

x: 5 8 11 7 13 12 12 6

y: 63 67 74 64 75 69 90 60

a. assuming normal error regression model (2.1) is appropriate, obtain the estimated regression function and plot the residuals ei against Xi. What does your residual plot show? (please show R code)

b) Omit case 7 from the data and obtain estimated regression function based on the remaining seven cases. Compare the estimated regression function to that obtained in part a. What can you conclude about the effect of case 7?

c) Using your fitted regression function in part b, obtain a 99 percent prediction interval for a new Y observation at X = 12. Does observation Y7 fall outside this prediction interval? What is the significance of this?

Explanation / Answer

The equation of the regression line is:

y = 48.667 + 2.333x

The graph of the regression line is:

Step 2: Find the sum of every column:

X=74 , Y=562 , XY=5356 , X2=752

Step 3: Use the following equations to find a and b:

ab=YX2XXYnX2(X)2=562752745356875274248.667=nXYXYnX2(X)2=85356745628752(74)22.333

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If 7 is omitted,

99% confidence interval: 1.68718 2.89682

When x =12, y = 49.208+2.292(12)

= 76.712

y(12) = (49.208+1.68718(12), 49.208+2.89682(12))

= (69.452, 83.972)

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y(7) = 49.208+2.292(7)

= 65.252

99% conf int = (60.968, 69.487)

64 lies very much within the interval.

X Y XY XX 5 63 315 25 8 67 536 64 11 74 814 121 7 64 448 49 13 75 975 169 12 69 828 144 12 90 1080 144 6 60 360 36

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