The volume of the geometry that is oblique prism is 
. Then the correct option is A.
<h3>What is Geometry?</h3>
It deals with the size of geometry, region, and density of the different forms both 2D and 3D.
Given
The oblique prism below has an isosceles right triangle base.
The triangular bases have 2 sides with a length of x.
The distance from the 2 triangular bases is (x + 3).
The vertical height of the prism is (x + 2).
The volume of the oblique prism will be
The volume of the oblique prism is .
Thus, option A is correct.
More about the geometry link is given below.
brainly.com/question/7558603
Answer is (-1.5,5)
Midpoint formula is M= ((X1+X2)/2), ((Y1+Y2)/2)
So it becomes ((-4+1)/2), ((9+1)/2)= (-1.5,5)
Answer:
YES!
Step-by-step explanation:
564,938 -> 565,000
BRAINLIEST?
Look at attached photo
first divide each line into the number as shown in the denominator
This question is incomplete, the complete question is;
Suppose John is a high school statistics teacher who believes that watching many hours of TV leads to lower test scores. Immediately after giving the most recent test, he surveyed each of the 24 students in his class and asked them how many hours of TV they watched that week. He then matched each student's test grade with his or her survey response. After compiling the data, he used hours of TV watched to predict each student's test score. He found the least-squares regression line to be y" = -1.5x + 85.
He also calculated that the value of r, the correlation, was -0.61.
what is the correct value of the coefficient of determination R² and give a correct interpretation of its meaning
Answer:
Interpretation of coefficient of determination R² = 0.3721
R² = 0.3721, meaning 37.21% of the total variation in test scores can be explained by the least square regression line
Step-by-step explanation:
Given the data in the question;
the least square regression line is;
y" = -1.5x + 85
the correlation coefficient r = -0.61
Now, the coefficient of determination R² is square of correlation coefficient r
R² = -61²
R² = 0.3721
