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3 years ago

Need help with this problem anybody ?

Mathematics

2 answers:

Bad White [126]3 years ago

8 0

A

.....mdmxjxkxkkxkxkxkxkisisiskksksksksk

svet-max [94.6K]3 years ago

4 0

Answer: 42 ÷ 6 = 7

7 is the quotient.

Step-by-step explanation:

In division equations, the number being divided is the dividend. the number used to divide is the divisor. The result is the quotient. That is the 'size' of the share each of the divisors gets. Quota comes from the latin word for "part" or "how many".

When converting a a fraction to division or vice versa, the numerator is the dividend. The denominator is the divisor.

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vladimir2022 [97]

Answer:

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Step-by-step explanation:

8 0

3 years ago

Read 2 more answers

A. 0 B. 1 C. 2 D. 3

zloy xaker [14]

-19 to -15 would be a positive 4 difference

19 to 15 = 4 this would be a -4 difference

3 to 7 is a positive 4 difference

-3 to 7 is a difference of 10

so there is 1 with a -4 difference
answer is B.

6 0

3 years ago

750.683 the value of 8?

Romashka-Z-Leto [24]

8 is in the tens place. It has a value of 80.

7 0

3 years ago

Read 2 more answers

In a multiple regression equation, two independent variables are considered, and the sample size is 30. The regression coefficie

MAXImum [283]

Answer:

Both the variables are important for the regression analysis and cannot be deleted.

Step-by-step explanation:

(1)

The hypothesis for for the testing of coefficient β₁ are:

H₀: β₁ = 0 vs. Hₐ: β₁ ≠ 0

The test statistic is:

$t=\frac{b_{1}}{S_{b_{1}}} =\frac{2.815}{0.75}= 3.753$

It is provided that H₀ is rejected if t > 2.042.

The test statistic value, t = 3.753 > 2.042.

Thus, the null hypothesis is rejected.

Conclusion:

There is a significant relationship between the regression variable and the dependent variable.

(2)

The hypothesis for for the testing of coefficient β₂ are:

H₀: β₂ = 0 vs. Hₐ: β₂ ≠ 0

The test statistic is:

$t=\frac{b_{2}}{S_{b_{2}}} =\frac{-1.249}{0.41}= -3.046$

It is provided that H₀ is rejected if t < -2.042.

The test statistic value, t = -3.046 < -2.042.

Thus, the null hypothesis is rejected.

Conclusion:

There is a significant relationship between the regression variable and the dependent variable.

Thus, both the variables are important for the regression analysis and cannot be deleted.

7 0

3 years ago

Consider the expression 16y^2 . Select the correct statement:

tiny-mole [99]

Step-by-step explanation:

Given expression is:

$16y^2$

We will solve each statement one by one to see which statements are correct.

If y=3/4, the values of 16y^2 is 12

Putting y = 3/4 in expression

$16y^2 = 16 *(\frac{3}{4})^2 = 16 * \frac{9}{16} = 9$

If y=1/4, the values of 16y^2 is 2

Putting y = 1/4 in expression

$16y^2 = 16 *(\frac{1}{4})^2 = 16 * \frac{1}{16} = 1$

If y=3/8, the values of 16y^2 is 4/9

Putting y = 3/8 in expression

$16y^2 = 16 *(\frac{3}{8})^2 = 16 * \frac{9}{64} = \frac{9}{4}$

If y=1/8, the values of 16y^2 is 1/4

Putting y = 1/8 in expression

$16y^2 = 16 *(\frac{1}{8})^2 = 16 * \frac{1}{64} = \frac{1}{4}$

If y=2/3, the values of 16y^2 is 3/4

Putting y = 2/3 in expression

$16y^2 = 16 *(\frac{2}{3})^2 = 16 * \frac{4}{9} = \frac{64}{9}$

Hence,

The correct statement is:

If y=1/8, the values of 16y^2 is 1/4

Keywords: Expressions, variables

Learn more about expressions at:

#LearnwithBrainly

7 0

3 years ago