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:
D.
Step-by-step explanation:
2^a*2^5/2^b = 2^(a+5)/2^b. using power of a product property.
then
2^(a+5)/2^b= 2^(a+5)*2^-b. Using Negative Exponent property.
Again we can use power of a product property and we get 2^(a+5)*2^-b=2^(a-b+5)
Answer:
<h3>87 feet</h3><h3>1. You can find the value of the vertex of the parabola as following:
</h3><h3 /><h3 /><h3 /><h3>2. Substitute values:
</h3><h3 /><h3>a=-16
</h3><h3 /><h3>b=70
</h3><h3 /><h3>Then:
</h3><h3 /><h3> </h3><h3 /><h3 /><h3 /><h3>3. Substitute the value obtained into the equation given in the problem. Therefore, you obtain the following result:
</h3><h3 /><h3 /><h3 /><h3>4. To the nearest foot:
</h3><h3 /><h3>h=87 feet</h3>
Step-by-step explanation:
<h3>#hopeithelps</h3><h3>stay safe and keep well</h3><h3 /><h3>mark me as brain liest pls</h3>
Answer:
b= 0.9
Step-by-step explanation:
first you find angle B: 180-90-25=65
then you will do law of sine- sin A/a=sin B/b=sin C/c
sin(90)/1=sin 65/b
sin(90)*b=sin(65)*1
sin(90)*b=0.9
b=0.9/sin(90)
b= 0.9