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Zielflug [23.3K]
1 year ago
11

2 g(x) = 3 - x h(x) = 4 - 32 Write (g o h)(x) as an expression in terms of x. (goh)(x) =​

Mathematics
1 answer:
iren2701 [21]1 year ago
7 0

Answer:

HI the answer is

Step-by-step explanation:

just put the answer who cares

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Solve using any method. −2x+y=3 −3x+y=1 (-1, -2) (2, 7) (-2, -1) (-2, -5)
damaskus [11]

Answer:

Therefore the Final Solution is  x = 2 and y = 7  

i.e (2 ,7)

Step-by-step explanation:

Given:

-2x+y=3                ...............Equation ( 1 )

-3x+y=1                 ...............Equation ( 2 )

y=3x+1                   ..............Equation ( 3 )

To Find:

x = ?

y = ?

Solution:

Substituting Equation  ( 3 ) in Equation ( 1) we get

-2x+3x+1=3\\\\x=3-1\\\\\therefore x =2

Now Substituting x = 2 in Equation ( 3 ) we get

y=3\times 2+1=6+1\\\\\therefore y=7

Therefore the Final Solution is  x = 2 and y = 7  

i.e (2 ,7)

3 0
3 years ago
Which two of the following numbers have the same value?
Oksi-84 [34.3K]

Answer:

33 and 42

Step-by-step explanation:

7 0
2 years ago
For f(x) = 5x-2 and g(x) = 4x4 - 3 find the following.
Allisa [31]
Correct answer is B
6 0
2 years ago
When asked to state the simple linear regression model, a student wrote it as follows: E(Yi) = βo + β1Xi + ei . Do you agree? Ex
Viktor [21]

Answer:

No. See the explanation below.

Step-by-step explanation:

No. When we have the lineal model given by:

Y_i = \beta_0 +\beta_1 X_i +\epsilon_i , i = 1,....,n

For n observations, where y represent the dependent variable, X represent the independent variable and \beta_0, \beta_1 are the parameters of the model, we are assuming that \epsilon is and independent and identically distrubuted variable that follows a normal distribution with the following parameters e\sim N(\mu=0,\sigma^2).

So then the expected value for any error term is E(\epsilon_i) =0, i =1,...,n

So then if we find the expected value for any observation we have this:

E(Y_i) = E(\beta_0 +\beta_1 X_i +\epsilon_i) , i = 1,....,n

Now we can distribute the expected value on the right by properties of the expected value like this:

E(Y_i) = E(\beta_0) +E(\beta_1 X_i) +E(\epsilon_i), i =1,...,n

By properties of the expected value E(aX) =aE(X) if a is a constant and X a random variable, so then if we apply this property we got:

E(Y_i) = \beta_0 +\beta_1 E(X_i) +0 ,i=1,...,n

E(Y_i) =\beta_0 +\beta_1 X_i, i=1,.....,n

And if we see that'ts not the result supported by the claim for this reason is FALSE the statement.

5 0
3 years ago
Find the measure of the central angle that you would draw to represent 20% in a circle graph.
Brilliant_brown [7]

Answer:

C

Step-by-step explanation:

The central angle is 20% of 360°, that is

central angle = \frac{20}{100} × 360° = 0.2 × 360° = 72° → C

7 0
3 years ago
Read 2 more answers
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