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2 years ago

Just freaking shoot me

Mathematics

2 answers:

Ymorist [56]2 years ago

4 0

Answer:

open circle on -7 going right to 12

idk the first part tho, sorry

storchak [24]2 years ago

3 0

Answer:

DONT BE SO HARD ON YOUR SELF!!!

Step-by-step explanation:

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PLS ANSWER QUICK I WILL GIVE BRAINLIEST

NISA [10]

Answer:

Step-by-step explanation:

First, we are decreasing the number so it has to be a decrease.

Next, we divide 7/31 and get around 0.23, which also represents 23 percent.

This only shows that 7 is 23 percent of 31, so we need to find the decrease by seeing the difference of 100 and 23.

We get 100 - 23 = 77, and because it is a decrease we get B.

8 0

2 years ago

Lao wrote the number 85 on the board is 85 prime or composite explain

ELEN [110]

85 is composite because it can be divided by 5 and 17

4 0

2 years ago

Read 2 more answers

17 dozen cookies<br> are made in 2<br> hours. At this rate,<br> how many are<br> made in 5 hours?

prohojiy [21]

Answer:

= 12 miles per hour

Step-by-step explanation:

thats the answer i promise plus im in 6th grade

7 0

2 years ago

PLEASE HELP NEED THIS ANSWERED CORRECTLY

Helen [10]

f(3) = 1.9

Solution:

Given function:

$$f(x)=\frac{14}{7+2 e^{-0.6 x}}$

To find f(3):

Substitute x = 3 in the given function.

$$f(3)=\frac{14}{7+2 e^{-0.6 (3)}}$

$$f(3)=\frac{14}{7+2 e^{-1.8}}$

Let us first simplify $2e^{-1.8}$ .

Apply exponent rule: $a^{-b}=\frac{1}{a^{b}}$

$2e^{-1.8}=2\frac{1}{e^{1.8}}$

The value of $e^{1.8}=6.04964$ . (using calculator)

$$\frac{2}{e^{1.8}}=\frac{2}{6.04964}=0.33059$

$2e^{-1.8}=0.33059$

Substitute this value in f(3).

$$f(3)=\frac{14}{7+0.33059}$

$$f(3)=\frac{14}{7.33059}$

$$f(3)=1.90980$

f(3) = 1.9

Hence the value of f(3) is 1.9.

3 0

3 years ago

For simple linear regression, y = β0 + β1x + u, which one of the following statements is true?

RSB [31]

Answer:

Option a) u is called the "error term". It is the error we make in prediction

Option d) x is called the independent variable because x is independent from y and u.

Step-by-step explanation:

We are given the following information in the question:

$y = \beta_0 + \beta_1x + u$

where y is the dependent variable, x is the independent variable.

$\beta_0$ : It is the value of y when x is zero, that is y-intercept.

$\beta_1$ : It is the coefficient of x in predicting the dependent variable y.

u is the error term.

An error term represents the margin of error.
It refers to the sum of the deviations within the regression line, that is the difference between the predicted value and the observed value of y.

Thus, Option A) u is the error term and Option D) x is called the independent variable because x is independent from y and u are the correct answer.

6 0

2 years ago