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ryzh [129]
2 years ago
11

Help please!!! Question is in the picture​

Mathematics
2 answers:
EastWind [94]2 years ago
8 0
I think it’s dababy
Nataly [62]2 years ago
6 0
I don’t really know where the Porche is
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Match each fraction, decimal, or percent with an equivalent fraction, decimal, or percent
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Answer:  2/25 as a percent is 8% and as a decimal is 0.08 and what is your question I don't really understand?

Step-by-step explanation:

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2 years ago
Need help thank you:)
inna [77]

Answer:

F = 1.8C + 32

Step-by-step explanation:

Given

The attached table

Required

The relationship between both temperatures

<em>This implies that we calculate the table equation</em>

First, we calculate the slope (m)

m = \frac{F_2 - F_1}{C_2 - C_1}

Where:

(C_1,F_1) = (0,32)

(C_2,F_2) = (20,68)

So, we have:

m = \frac{68 - 32}{20 - 0}

m = \frac{36}{20}

m = 1.8

The equation is then calculated using:

F = m(C - C_1) + F_1

This gives:

F = 1.8(C - 0) + 32

F = 1.8(C ) + 32

F = 1.8C + 32

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3 years ago
Which of these figures has rotational symmetry?
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C. 
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The management of a relatively new social networking website named BooglePlus is conducting a pilot study comparing use of its o
zavuch27 [327]

Answer:

0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x

Step-by-step explanation:

Given the data in the question;

sample size n = 28

slope of the least squares regression line of y on x or sample estimate = 0.0623

standard error = 0.0224

95% confidence interval

level of significance ∝ = 1 - 95% = 1 - 0.95 = 0.05

degree of freedom df = n - 2 = 28 - 2 = 26

∴ the equation will be;

⇒ sample estimate ± ( t-test) ( standard error )

⇒ sample estimate ± ( t_{\alpha /2, df) ( standard error )

⇒ sample estimate ± ( t_{0.05 /2, 26) ( standard error )

⇒ sample estimate ± ( t_{0.025, 26) ( standard error )

{ from t table; ( t_{0.025, 26) = 2.055529 = 2.056

so we substitute

⇒ 0.0623 ± ( 2.056 )( 0.0224 )

Therefore, 0.0623 ± ( 2.056 )( 0.0224 ) can be used to compute a 95% confidence interval for the slope of the population regression line of y on x

5 0
3 years ago
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