Answer:
4,188,790,200 cubic miles to the nearest hundred.
Step-by-step explanation:
That will be the volume of an imagined sphere with radius 1000 miles.
= 4/3 * pi * (1000)^3
= 4,188,790,200 cubic miles.
Answer:
<u>Longer leg = 5 feet</u>
<u>Shorter leg ≅ 2.89 feet</u>
<u>Hypotenuse ≅ 5.78 feet</u>
Step-by-step explanation:
Let's recall that this is a special type of triangle where the three angles measure 30 degrees, 60 degrees, and 90 degrees. The ratio of the sides is 1: √3 :2. That is to say, the hypotenuse is twice as long as the shorter leg, and the longer leg is the square root of 3 times the shorter leg.
Upon saying that, we can find the length of the legs of the triangle given:
Longer leg = 5 feet
Shorter leg * √3 = 5
Shorter leg = 5/√3 = 5√3/3 ≅ 2.89 feet
Hypotenuse = 2 * Shorter leg
Hypotenuse = 10√3/3 ≅ 5.78 feet
Answer:
The graph is shifted right by 9 units and down by 3 units
Step-by-step explanation:
Answer:
2 
Step-by-step explanation:
First, we will turn 5 2/5 into an improper fraction:
5 * 5 = 25 + 2 = 27/5
So they worked for 27/5 days.
We want to divide the days worked by the distance to get the unit rate of distance per day:

So our answer is 2 
Hope this helps, have a great day! :D
The best answer from the options that proves that the residual plot shows that the line of best fit is appropriate for the data is: ( Statement 1 ) Yes, because the points have no clear pattern
X Given Predicted Residual value
1 3.5 4.06 -0.56
2 2.3 2.09 0.21
3 1.1 0.12 0.98
4 2.2 -1.85 4.05
5 -4.1 -3.82 -0.28
The residual value is calculated as follows using this formula: ( Given - predicted )
1) ( 3.5 - 4.06 ) = -0.56
2) ( 2.3 - 2.09 ) = 0.21
3) ( 1.1 - 0.12 ) = 0.98
4) (2.2 - (-1.85) = 4.05
5) ( -4.1 - (-3.82) = -0.28
Residual values are the difference between the given values and the predicted values in a given data set and the residual plot is used to represent these values .
attached below is the residual plot of the data set
hence we can conclude from the residual plot attached below that the line of best fit is appropriate for the data because the points have no clear pattern ( i.e. scattered )
learn more about residual plots : brainly.com/question/16821224