Answer:
Explained below.
Step-by-step explanation:
Consider the variables height and weight.
It is usually seen that taller people are heavier than shorter people.
So a regression analysis can be used to specify this belief.
The statistical questions that are being asked here are:
- What the independent and dependent variables?
- Are there any other factor influencing the dependent variable other than the independent variable?
The variable <em>Y</em> is considered as the dependent variable and the variable <em>Y</em> is considered as the independent variable. And the main purpose of the regression analysis is to predict the value of <em>Y</em> when the value of <em>X</em> is given.
The linear regression model can be used to predict the past and future value of the dependent variables provided that the independent variables for those times are provided.
3 x 25 = 75
4 x 12 = 48
75 - 10 = 65
65 + 48 = 113
Answer: 113 markers and crayons or 65 crayons and 48 markers
Answer:
3x = 2(-3x + 1)
Step-by-step explanation:
I think that's it I think it could be wrong but I tried
916...the 9 is in the hundreds place so its value is 900
791...the 9 is in the tens place so its value is 90
900/90 = 10
so the 9 in 916 is 10 times bigger then the 9 in 791
Answer:
64 crates
Step-by-step explanation:
Smaller Cube Side Length = 2 1/2 feet, or, 2.5 feet
Larger Container (Cube) Side Length = 10 feet
We find volume of larger container and find volume of small crates. We divide the large volume by volume of each crate. This will give us number of crates we can fit.
Volume of Cube = x^3
Where x is the side length of the cube
Now,
Small Crate Volume = (2.5)^3 = 15.625 cubic feet
Large Container Volume = 10^3 = 1000 cubic feet
Number of crates that would fit = 1000/15.625 = 64
So, 64 crates will fit in the largest shipping container
