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VMariaS [17]
3 years ago
10

Take a look at the picture!

Mathematics
2 answers:
igor_vitrenko [27]3 years ago
8 0

Answer:

1.3 * 10^5

Step-by-step explanation:

dimaraw [331]3 years ago
5 0

Answer:

1.3^0

Step-by-step explanation:

subract 9 - 7.7, then sutract 5 - 5 then you get 1.3^0

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Which is an equivalent expression for 21a+35?
ki77a [65]

Answer:

7(3a + 5)

Step-by-step explanation:

Rewrite 21 as 7 · 3

Rewrite 35 as  7 · 5

Therefore,

⇒ 21a + 35 = 7 · 3a + 7 · 5

Factor out common term 7:

⇒ 7 · 3a + 7 · 5 = 7(3a + 5)

5 0
2 years ago
Which polynomial is a perfect square trinomial? (4 points) 9x2 − 12x + 4 36b2 − 24b + 16 16x2 − 24x − 9 4a2 − 10a − 25ynomial is
o-na [289]

Answer:

9x² − 12x + 4

Step-by-step explanation:

A perfect square trinomial:

a² + 2ab +b²= (a + b)²

a² - 2ab +b²= (a - b)²

9x² − 12x + 4 = (3x)² - 2*(3x)*2 + 2² = (3x - 2)²

36b² − 24b + 16

16x² − 24x − 9

4a² − 10a − 25

8 0
3 years ago
Read 2 more answers
Whats x? i don’t understand
rewona [7]

Answer:

The letter "x" is often used in algebra to mean a value that is not yet known. It is called a "variable" or sometimes an "unknown". In x + 2 = 7, x is a variable, but we can work out its value if we try! A variable doesn't have to be "x", it could be "y", "w" or any letter, name or symbol. See: Variable.

Step-by-step explanation:

8 0
3 years ago
Suppose John is a high school statistics teacher who believes that scoring higher on homework assignments leads to higher test s
EleoNora [17]

Answer:

A. R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.

Step-by-step explanation:

John is predicting test scores of students on the basis of their home work averages and he get the following regression equation

y=0.2 x +82.

Here, dependent variable y is the test scores and independent variable x is home averages because test scores are predicted on the basis of home work averages.

The coefficient of determination R² indicates the explained variability of dependent variable due to its linear relationship with independent variable.

We are given that correlation coefficient r= 0.82.

coefficient of determination R²=0.82²=0.6724 or 67.24%.

Thus, we can say that 67.24% of total variability in test scores is explained by its linear relationship with homework averages.

Also, we can say that, R2 = 0.6724, meaning 67.24% of the total variation in test scores can be explained by the least‑squares regression line.

3 0
3 years ago
The sum of 4 consecutive odd numbers is 40. What is the gratest of the 4 numbers
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3 years ago
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