Answer:
B
Step-by-step explanation:
Both of them have the same variable and are both raised to the 5th power (Like the example in the last sentence of the text)
Answer:
11=y
66=x
6=y
55=x
Step-by-step explanation:
Hope this helps
Have a great day!
Answer:
D
Step-by-step explanation:
Firstly, the question is phrased very very badly as the four answers provided are coordinate points rather than how far apart the cities are in units.
To calculate the distance between two points, we have to use Pythagoras' Theorem as it's just pretty much a right-angle triangle. Please look at the (terribly drawn) image provided.
Keep in mind that these points are only roughly placed on the map.
But firstly, to use Pythagoras' Theorem (a^2 + b^2 = c^2), we must find the length of the two sides.
To find the length of the horizontal line (which from now on I'll refer to as 'a'), we must subtract the smaller x value from the larger one.
47 - 35 = 12
To find the length of the vertical line (which from now on I'll refer to as 'b'), we must subtract the smaller y value from the larger one.
122 - 78 = 44
I assume that the answer you should pick is D. (12, 44)
However, that doesn't exactly answer the question... it's worded a little weirdly.
To solve the rest of the equation, do the following:
Now that we know that the length of a = 12 and the length of b = 44, we can use Pythagoras' Theorem.
a^2 + b^2 = c^2
12^2 + 44^2 = c^2
144 + 1936 = c^2
2080 = c^2
c = 
c = 45.61
The answer is 45.61 units.
Answer:
<h3>
The Option B) Multiple regression is correct</h3><h3>Regression analysis involving one dependent variable and more than one independent variable is known as <u>multiple regression.</u></h3>
Step-by-step explanation:
Given that regression analysis involving one dependent variable and more than one independent variable
For : Regression analysis involving one dependent variable and more than one independent variable is known as <u>multiple regression</u>
- In statistics, a linear regression is a linear relationship between a dependent variable and one or more independent variables.
- In statistics for more than one independent variable and with one dependent variable in regression analysis , then the regression is called as multiple regression.
- Therefore Option B) Multiple regression is correct
<h3>Regression analysis involving one dependent variable and more than one independent variable is known as <u>
multiple regression</u>.</h3>
X=12 is the answer, i have done this question before, hope i helped.