Answer:
2
Step-by-step explanation:
Pull out like factors :
2x - 4 = 2 • (x - 2)
(4x + (2 • (x - 5))) - 6 • (x - 2)
(4x + 2 • (x - 5)) - 6 • (x - 2)
Final Answer:
2
Answer:
the length is 21
Step-by-step explanation:
50-4-4=42÷2=21
Answer:
Option B is correct.
An appropriate statistical test that can be used to evaluate the usefulness of this method is; Linear regression with t-test for significance of slope.
Step-by-step explanation:
For this research, they want to measure the lengths of alligators and use the already obtained data relating the lengths of captured and released alligators to their masses, to obtain the masses of alligators whose lengths have been measured.
So, in this research survey, the masses of the alligators is the dependent variable which depends on the lengths.
Basically, the researchers measure the length of an alligator and use the data to work out its mass.
So, an appropriate method to relate the two variables is to use regression analysis on the already obtained data, to obtain the linear relationship between mass of the alligators and their lengths. So that, just by putting on the measured lengths of the alligators surveyed into this expression, their corresponding masses would be immediately obtained.
But the correctness of this expression obtained will be checked by using t-test for the significance of the slope obtained in the linear regression.
So, the appropriate statistical test that can be used to evaluate the usefulness of this method is: Linear regression with t-test for significance of slope.
Hope this Helps!!!
Answer:
The answer to your question is letter C
Step-by-step explanation:
Process
1.- Find two points of the line
A ( 0, 1)
B ( 1, -3)
2.- Find the slope of the line
m = -4
3.- Find the equation of the line
y - y1 = m (x - x1)
y - 1 = -4( x - 0)
y -1 = -4x
y = -4x + 1
24 (being the part of the number that was first) would be multiplied by 10000, note the fact that the amount of zeros multiplied was equal to the amount of zeros in the problem.
Thus
240,000 = 24 x 10,000.
