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Zolol [24]
3 years ago
12

What is the number of possible permutations of 8 objects taken 4 at a time?

Mathematics
1 answer:
bulgar [2K]3 years ago
4 0
The answer is D she’s
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A least squares regression line was found. Using technology, it was determined that the total sum of squares (SST) was 46.8 and
Harman [31]

Answer: 31%

Step-by-step explanation:

Formula : Percent of the variability = R^2\times100=\dfrac{SSR}{SST}\times100

, where R^2 = Coefficient of Determination.

SSR =  sum of squares of regression

SST = total sum of squares

R^2  is the proportion of the variation of Y that can be attributed to the variation of x.

As per given , we have

SSR = 14.55

SST=  46.8

Then, the percent of the variability in y that can be explained by variability in the regression model =\dfrac{14.55}{46.8}\times100=31.0897435897\%\approx31\%

Hence, the percent of the variability in y that can be explained by variability in the regression model  = 31%

8 0
3 years ago
juanito le dice a catherine que el ha logrado medir con exactitud el valor de la libertad. ¿Cual es la inconsistencia que presen
Deffense [45]
Que la libertad no se puede medir
5 0
3 years ago
I need help with this word problem please help
alexandr402 [8]

you will need 7 cups of sugar. 35 divided by 5 is 7.

8 0
3 years ago
Read 2 more answers
Pls help with this if it is not to hard for you to do ​
SashulF [63]

Answer:

12x-3y

Step-by-step explanation:

10x3 + x + X

Group like terms

10x + x +X-3

Add similar elements: 10x + x + x = 12x

= 12x - 3y

5 0
2 years ago
74% of freshmen entering public high schools in 2006 graduated with their class in 2010. A random sample of 81 freshmen is selec
Assoli18 [71]

Answer: Probability that the proportion of students who graduated is greater than 0.743 is P = 0.4755

Step-by-step explanation:

Given that,

Probability of freshmen entering public high schools in 2006 graduated with their class in 2010, p = 0.74

Random sample of freshman, n = 81

Utilizing central limit theorem,

P(\hat{p}

So,

(P(\hat{p}>0.743) = P(Z>0.743 - \frac{0.74}{\sqrt{\frac{0.74(1-0.74)}{81} }  } )

= P( Z > 0.0616)

= 0.4755 ⇒ probability that the proportion of students who graduated is greater than 0.743.

7 0
3 years ago
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