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chubhunter [2.5K]
3 years ago
15

If f(x)=2x^6+x^2+2 then what is the remainder when f(x)is divided by x+2

Mathematics
1 answer:
Delicious77 [7]3 years ago
3 0

Answer:

0, 2

Step-by-step explanation:

thats what it would look like on a graoh

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Please help brainliest and 20 points!
Nadya [2.5K]

Answer:

I'm so sorry I can't help haven't learned how to do that yet

4 0
3 years ago
in the Sahara desert one day it was 136°F in the gobi desert a temperature of -50°F was recorded what is the difference between
Zolol [24]

Answer:

  186 °F

Step-by-step explanation:

The difference is found by subtracting the smaller from the larger:

  136 -(-50) = 136 +50 = 186

The difference between the two temperatures is 186 °F.

4 0
3 years ago
If number eight is underlined what is the position
pshichka [43]
Is there any numbers to answer the question?
5 0
3 years ago
The total bill for the drinks and pizza comes out to be $17.28. How much should each person pay if they are to share the total b
sleet_krkn [62]

Answer:

5.76

Step-by-step explanation:

17.28/3

5 0
2 years ago
Read 2 more answers
Consider the population regression of log earnings [Yᵢ, where Yᵢ= ln(Earningsᵢ)] against two binary variables:
puteri [66]

Answer:

A) allows the population effect on log earnings of being married to depend on gender

Step-by-step explanation:

The regression equation of a dependent variable based on two or more independent variables is of the form:

Y=b_{0}+b_{1}X_{1} +b_{2}X_{2}+b_{3}X_{1}X_{2}

Here,

<em>Y</em> = dependent variable

X_{1} and X_{2} = independent variables

X_{1}X_{2} = interaction term

b_{1},\ b_{2}\ and \ b_{3} = regression coefficients.

If there is a significant interaction effect present then this implies that the effect of one independent variable (X_{1} orX_{2} ) on the dependent variable (<em>Y</em>) differs every time with different value of the other independent variable  (X_{1} orX_{2} ) .

The provided regression equation is:

Y_{i}=\beta _{0}+\beta _{1}D_{1i}+\beta_{2}D_{2i}+\beta _{3}D_{1i}D_{2i}+u_{i}

Y_{i} = dependent variable

D_{1i} and D_{2i} = independent variables

In this case the interaction term is defined as follows:

The effect of being married on log earnings is dependent on different values of the variables D_{2i}, i.e. the gender of the i^{th}person.

Thus, the correct option is (A).

3 0
3 years ago
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