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kenny6666 [7]
3 years ago
8

The correlation coefficient for the linear regression of the data is??

Mathematics
1 answer:
prisoha [69]3 years ago
8 0

Answer:

The Answer is below

Step-by-step explanation:

The correlation coefficient for the linear regression of the data is a mathematical illustration, that describes the level of correlation in linear relationship between the two variables and the direction, which can either be positive or negative.

Give the sign of "r" depicts the direction of the relationship. Thus, if "r" is positive, as one variable increases, the other tends to increase, and if "r" is negative, as one variable increases, the other tends to decrease.

As such, r² is represented as the proportion of the total variance (s²) of Y, which in turn can be expressed by the linear regression of Y on x. Thus, 1-r² is the part that is not illustrated by the regression.

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two numbers have the following properties.the sum of the larger and twice the smaller is equal to 13.twice their positive differ
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The inequality boils down to

|<em>y</em>| > <em>y</em>

By definition of absolute value, we have

• |<em>y</em>| = <em>y</em> if <em>y</em> ≥ 0

• |<em>y</em>| = -<em>y</em> if <em>y</em> < 0

So if <em>y</em> ≥ 0, we have

<em>y</em> > <em>y</em>

but this is a contradiction.

On the other hand, if <em>y</em> < 0, we have

-<em>y</em> > <em>y</em>   ==>   2<em>y</em> < 0   ==>   <em>y</em> < 0

and no contradiction.

Now replace <em>y</em> with (<em>x</em> + 1)/(<em>x</em> - 1) + 1. Then you're left with solving

(<em>x</em> + 1)/(<em>x</em> - 1) + 1 < 0

(<em>x</em> + 1 + <em>x</em> - 1)/(<em>x</em> - 1) < 0

2<em>x</em>/(<em>x</em> - 1) < 0

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7 0
3 years ago
Sven starts walking due south at 6 feet per second from a point 140 feet north of an intersection. At the same time Rudyard star
Vsevolod [243]

Answer:

a) y= y₀+vy*t , x= x₀+vx*t

b) they are closest at t= 29.23 s

c) r min = 63.79 ft

Step-by-step explanation:

a) denoting v as velocities and "₀" as initial conditions , then the position of Sven is given by the coordinate (0,y) where

y= y₀+vy*t

and the position of Rudyard is given by the coordinate (x,0) where

x= x₀+vx*t

b) the distance r between Sven and Rudyard  is given by

r²=x²+y²

the distance will be minimum when the derivative of r with respect to the time is 0 . Then taking the derivative of the equation above

2*r*dr/dt = 2*x*dx/dt + 2*y*dy/dt

since dx/dt= vx and dy/dt= vy , then

r*dr/dt = x*vx+ y*vy

dr/dt = (x*vx+ y*vy)/r

assuming that r cannot be 0 , then

dr/dt =0 → x*vx+ y*vy = 0

(x₀+vx*t)*vx + (y₀+vy*t)*vy = 0

-(x₀*vx + y₀*vy) = (vx²+vy²)*t

t= -(x₀*vx + y₀*vy)/(vx²+vy²)

replacing values

t= -(x₀*vx + y₀*vy)/(vx²+vy²) = -[ 140 ft*(-6ft/s) + (-170 ft)*4 ft/s]/[ (-6ft/s)²+ (4 ft/s)²] = 29.23 s

then they are closest at t= 29.23 s

and the minimum distance will be

x = x₀ + vx*t = 140 ft+(-6ft/s)*29.23 s = -35.38 ft

y= y₀+vy*t = (-170 ft)+ 4 ft/s*29.23 s = -53.08 ft

r min = √(x²+y²)= 63.79 ft

r min = 63.79 ft

Note

to prove our assumption that r is not 0 , then x and y should be 0 at the same time. thus

0= y₀+vy*t → t = (-y₀)/vy = -140 ft/(-6ft/s) = 26.33 s

0= x₀+vx*t → t= (-x₀)/vx = -(-170 ft)/4 ft/s = 42.5 s

then r is never 0

8 0
3 years ago
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