3.7÷(1 2/9 −0.4) = 166.5/45 ÷ 37/45 = 4.5
0.4 = 40/100 = 2/5
2/5 = 18/45
1 2/9 = 11/9 = 55/45
55/45 - 18/45 = 37/45
3.7 = 370/100 = 18.5/5 = 166.5/45
ANSWER: 4.5
I believe its 45 because a right angle equals 90 degrees and if you multiply 45 and 2, it'll give you a right angle(90 degrees)
Answer:
x <-12
Step-by-step explanation:
-1/2x > 6
Multiply each side by-2. This will flip the inequality
-2 *-1/2x < 6*-2
x <-12
Answer:
1/2 and 1/3
LCM of 2,3=6
1/2=1/2×3/3=3/6
1/3=1/3×2/2=2/6
The six rational number
3/6=3/6×10/10=30/60
2/6=2/6×10/10=20/60
20/60,[21/60,22/60,23/60,24/60,25/60,26/60]....30/60.
1/2 and 1/3
LCM of 2,3=6
1/2=1/2×3/3=3/6
1/3=1/3×2/2=2/6
The six rational number
3/6=3/6×10/10=30/60
2/6=2/6×10/10=20/60
20/60,[21/60,22/60,23/60,24/60,25/60,26/60]....30/60.
Mark me brainliest plz ❤️
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.