Answer:
P(K > 2.2) = 0.1375
Step-by-step explanation:
We have that:
P(-2.2 ≤ K ≤ 2.2) = 0.725
P(K < -2.2) = P(K > 2.2)
It means that the distribution is symmetric.
The sum of all the probabilities is decimal 1.
We have the following probabilities:
P(K < 2.2)
P(-2.2 ≤ K ≤ 2.2)
P(K > 2.2)
So
P(K < 2.2) + P(-2.2 ≤ K ≤ 2.2) + P(K > 2.2) = 1
Since P(K < 2.2) = P(K > 2.2)
P(K > 2.2) + P(-2.2 ≤ K ≤ 2.2) + P(K > 2.2) = 1
2P(K > 2.2) + 0.725 = 1.
2P(K > 2.2) = 1 - 0.725
2P(K > 2.2) = 0.275
P(K > 2.2) = 0.275/2
P(K > 2.2) = 0.1375
The regression equation:
y = m x + b
m = ( 57 - 50 ) / ( 178 - 168 ) = 7 / 10 = 0.7
50 = 0.7 * 168 + b
50 = 117.6 + b
b = 50 - 117.6
b = - 67.6
y = 0.7 * x - 67.6The graph is in the attachment.
The weight of supermodel who is 171 cm tall:
y = 0.7 * 171 - 67.6 = 119.7 - 67.6 =
52.1 kg
I assume the equation is supposed to be
Then we can write
Take the logarithm of base 3/8 on both sides:
- - -
If the equation is actually 
, I'm afraid it cannot be solved exactly.
