Number 7: B=16. Number 8: A=30. Number 9: A=0
Answer:
P = 2L + 2W
35 cm = 2(5 cm) + 2(W cm)
W = 12.5 cm
Step-by-step explanation:
P = 2L + 2W
35 cm = 2(5 cm) + 2(W cm)
35 cm - 10 cm = 2W cm
2W cm = 25 cm
w cm = 12.5 cm
Answer:
Ida makes $ 6960 in 5 weeks.
Step-by-step explanation:
Let the profit of the first week is p.
p = $ 600
Total profits of the five weeks
= p + (p + 0.15p) + (p + p +0.15 p) + (p + p + p + 0.15 p) + (p + p + p + p + 0.15 p)
= 11 p + 0.6 p
= 11 x 600 + 0.6 x 600
= 6600 + 360
= $ 6960
So, Ida makes $ 6960 in 5 weeks.
Answer:
190
Step-by-step explanation:
f(1)=8
f(2)=3f((2-1))-2, f(2)=22
f(3)=3f((3-1))-2, f(3)=64
f(4)=3f((4-1))-2, f(4)=190
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.