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Alex17521 [72]
3 years ago
12

1. 12 = x + 3 2. b+0.6= -1 3. a+(-4)= -13 4. x+27= -12 5. a+(-1.2)= -5.5

Mathematics
2 answers:
Archy [21]3 years ago
8 0
1. 12=x+3    12-3=9  now try 9+3 that is 12 so x=9
2. b+0.6=-1   -1-0.6=-1.6   -1.6+0.6=-1  b=-1.6
3. a=-9
4. x=-39 I believe
5. a=-4.3
adoni [48]3 years ago
6 0
1. x = 9
2. b = -1.6
3. a= -9
4. x = -39
5. a = -4.3

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Answer:

The correlation coefficient 0.5 depicts that there is moderate positive correlation between y and x.

Step-by-step explanation:

The linear regression equation is

y= a+bx

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y= 10x

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From above equation,

ybar=10xbar

We are given that CVx=0.1 and CVy=0.2

where CV=(standard deviation/mean)*100

We know that

b=r(Sy/Sx)

Multiplying by xbar/ybar on both sides

(xbar/ybar)b=r(Sy/Sx)(xbar/ybar)

(xbar/ybar)b=r[(Sy/ybar)/(Sx/xbar))]

(xbar/ybar)b=r[CVy/CVx]

As CVy/CVx=(Sy/ybar)*100/(Sx/xbar)*100=(Sy/ybar)/(Sx/xbar).

By putting ybar=10xbar, b=10, CVx=0.1 and CVy=0.2.

(xbar/10xbar)10=r(0.2/0.1)

1=r(0.2/0.1)

1=r(2)

r=0.5

There is moderate positive correlation between y and x.

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Step-by-step explanation:

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Answer:

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Step-by-step explanation:

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8 0
3 years ago
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