Answer:
The residual age of a lion whose nose is 11% black and is 1.9 years old is -0.15.
Step-by-step explanation:
In regression, the difference between the observed value of the dependent variable (<em>y</em>) and the predicted value (
) is known as the residual (<em>e</em>).

The least square regression line is used to predict the value of the response or dependent variable (<em>y</em>) from the known value of the explanatory or independent variable (<em>x</em>).
The general form of a least square regression line is:

The equation of the least squares regression line to predict the relationship between age (in years) and proportion of blackness in the lion’s nose is:

Compute the predicted value of <em>y</em> for <em>x</em> = 0.11 as follows:


The predicted value of <em>y</em> is,
.
The observed value of the age of lion whose nose is 11% black is, <em>y</em> = 1.90.
Compute the residual age of this lion as follows:


Thus, the residual age of a lion whose nose is 11% black and is 1.9 years old is -0.15.
Answer:
m<-4
Step-by-step explanation:
Answer:
first option
Step-by-step explanation:
The equation of a parabola in vertex form is
y = a(x - h)² + k
where (h, k) are the coordinates of the vertex and a is a multiplier
m(x) = - 2 (x - 6)² + 18 ← is in vertex form
with vertex = (6, 18 )
Answer:

Step-by-step explanation:
Hello There!
Remember the sum of all of the angles in a triangle is 180
so we can use this equation to solve for x
180 = 50 + 60 + 8x + 6
now we solve for x
step 1 combine like terms
50 + 60 + 6 = 116
now we have
180=8x+116
step 2 subtract 116 from each side
116 - 116 cancels out
180 - 116 = 64
now we have
8x = 64
step 3 divide each side by 8
8x/8=x
64/8=8
we're left with x = 8