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The accompanying data on - head circumference z score (a comparison score with peers of the same age a positive score suggest
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Answer #1

Solution-:

Let, x= Head curcumference z-scoreat 6-14 montghs and y=Cerebral Grey Matter(ml) 2-5 year

By using R-Software:

> x=c(-0.75,1.2,-0.30,0.25,0.30,1.5,1.1,2.0,1.1,1.1,2.0,2.1,2.8,2.2,0.90,2.35,2.3,2.2);x
[1] -0.75 1.20 -0.30 0.25 0.30 1.50 1.10 2.00 1.10 1.10 2.00 2.10
[13] 2.80 2.20 0.90 2.35 2.30 2.20
> y=c(680,690,700,720,740,740,750,750,760,780,790,810,815,820,825,835,840,845);y
[1] 680 690 700 720 740 740 750 750 760 780 790 810 815 820 825 835 840 845
> #(a) for Correlation
> r=cor(x,y);r
[1] 0.786243
> round(r,2)
[1] 0.79
> # For regression line
> fit=lm(y~x);fit

Call:
lm(formula = y ~ x)

Coefficients:
(Intercept) x
714.15 42.52

> #The equation of the line of regression of y on x is:y=a+b*x
> #y=714.15+42.52*x
> #(c) When x=1.8
> esty=714.15+42.52*1.8;esty
[1] 790.686
> round(esty,2)
[1] 790.69

R-Code:

x=c(-0.75,1.2,-0.30,0.25,0.30,1.5,1.1,2.0,1.1,1.1,2.0,2.1,2.8,2.2,0.90,2.35,2.3,2.2);x
y=c(680,690,700,720,740,740,750,750,760,780,790,810,815,820,825,835,840,845);y
#(a) for Correlation
r=cor(x,y);r
round(r,2)
# For regression line
fit=lm(y~x);fit
#The equation of the line of regression of y on x is:y=a+b*x
#y=714.15+42.52*x
#(c) When x=1.8
esty=714.15+42.52*1.8;esty
round(esty,2)

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