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OverLord2011 [107]
3 years ago
6

PLEASE I NEED THIS ANSWER FAST: Select all the statements that apply to the concept of a residual.

Mathematics
1 answer:
zhuklara [117]3 years ago
4 0

Answer: Compares the value of the predicted value and the actual value

Is random when the function fits the data well

Step-by-step explanation:

The residual data is a comparison between the predicted or fitted data with the actual measured data. So Compares the -value of the predicted value and the actual value is correct.

You always want to see randomness, because if you see a pattern in the residua means that the model does not fit well the data, so "Is random when the function fits the data well is also correct."

If most of the points lay upside the predicted value, we will have a positive-sum. It is common to see it for quadratic functions, but it does not happen always, so the last sentence is not true.

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Solve for x.38(2x+16)−2=13 Enter your answer in the box.x =
lys-0071 [83]

Given:

\frac{3}{8}(2x+16)-2=13\frac{3}{8}(2x+16)=13+2\frac{3}{8}(2x+16)=15(2x+16)=15\times\frac{8}{3}(2x+16)=402x=40-162x=24x=\frac{24}{2}x=12

5 0
1 year ago
Rsm question please explain<br> The question is in the picture
strojnjashka [21]

A triangle is a three-edged polygon with three vertices. ΔAKE and ΔCKP are congruent.

<h3>What is a triangle?</h3>

A triangle is a three-edged polygon with three vertices. It is a fundamental form in geometry. The sum of all the angle of a triangle is always equal to 180°.

In ΔABC, since AB≅BC, therefore, the triangle will be an isosceles triangle, and the measure of ∠A ≅ ∠C, using the base angle theorem.

Now In ΔAKE and ΔCKP,

∠A ≅ ∠C {Proved above}

∠AKE ≅ ∠CKP {Given}

AK ≅ KC {Given }

Since two angles and a side of the triangle are equal, therefore, we can write the two triangle are congruent using the Side-angle-side or Angle-Side-Angle congruence.

Hence, ΔAKE and ΔCKP are congruent.

Learn more about Triangle:

brainly.com/question/2773823

#SPJ1

7 0
1 year ago
1. The US Mint has a specification that pennies have a mean weight of 2.5g. From a sample of 37 pennies, the mean weight is foun
Evgesh-ka [11]

Answer:

the pennies does not conform to the US mints specification

Step-by-step explanation:

z = (variate -mean)/ standard deviation

z= 2.5 - 2.4991 / 0.01648 = 0.0546

we are going to check the value of z in the normal distribution table, which is the table bounded by z.

checking for z= 0.0 under 55 gives 0.0219 (value gotten from the table of normal distribution)

we subtract the value of z from 0.5 (1- (0.5+0.0219)) = 0.4781 > 0.05claim

since 0.4781 > 0.05claim, therefore, the pennies does not conform to the US mints specification

the claim state a 5% significance level whereas the calculated significance level is 47.81%. therefore, the claim should be rejected

7 0
3 years ago
1.<br> Use the formula 2x + 3y = 6 to find y when x=0
Ulleksa [173]

Answer: 4/3

Step-by-step explanation:

You would find this answer because if x is 0 then it is just 2 then when you multiply 3 x 4/3 you get 4 then when you add that by two you get 6

Hopes this helps

5 0
2 years ago
Read 2 more answers
Researchers measured the bone mineral desnsity of the spines of 94 women who had taken teh drug CEE. The mean was 1.016 g/cm2, a
Valentin [98]

Answer:

The 95% confidence interval for the mean is between 0.985g/cm² and 1.047 g/cm².

Step-by-step explanation:

We have that to find our \alpha level, that is the subtraction of 1 by the confidence interval divided by 2. So:

\alpha = \frac{1-0.95}{2} = 0.025

Now, we have to find z in the Ztable as such z has a pvalue of 1-\alpha.

So it is z with a pvalue of 1-0.025 = 0.975, so z = 1.96

Now, find M as such

M = z*\frac{\sigma}{\sqrt{n}}

In which \sigma is the standard deviation of the population and n is the size of the sample.

M = 1.96*\frac{0.155}{\sqrt{94}} = 0.0310

The lower end of the interval is the mean subtracted by M. So it is 1.016 - 0.0310 = 0.985 g/cm²

The upper end of the interval is the mean added to M. So it is 1.016 + 0.0310 = 1.047 g/cm²

The 95% confidence interval for the mean is between 0.985g/cm² and 1.047 g/cm².

6 0
3 years ago
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