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3 years ago

Enter the plan width for the rectangular room. Round your answer to the nearest tenth.

Mathematics

1 answer:

Jobisdone [24]3 years ago

5 0

Answer:

350

Step-by-step explanation:

5x7x10=350

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A store sells grass seed in small bags and large bags. The small bags have 7 pounds of seed for $27.93 and the large bags have 2

Arada [10]

Answer:

The 20 pound bag is a better by for only $66.98

Step-by-step explanation:

The large bag is better because the small bag is $27.93 for 7 pounds 7x3=21,so 3x27.93=83.79 is $16.81 more than the cost for the large bag

hope this makes sense;)

5 0

2 years ago

Write an equation of the line perpendicular to the given line that contains P.

Shalnov [3]

Answer:

Step-by-step explanation:

perp. -5

y + 7 = -5(x - 4)

y + 7 = -5x + 20

y = -5x + 13

8 0

3 years ago

Please consider the following values for the variables X and Y. Treat each row as a pair of scores for the variables X and Y (wi

Studentka2010 [4]

Answer:

The Pearson's coefficient of correlation between the is 0.700.

Step-by-step explanation:

The correlation coefficient is a statistical degree that computes the strength of the linear relationship amid the relative movements of the two variables (i.e. dependent and independent).It ranges from -1 to +1.

The formula to compute correlation between two variables <em>X</em> and <em>Y</em> is:

$r(X, Y)=\frac{Cov(X, Y)}{\sqrt{V(X)\cdot V(Y)}}$

The formula to compute covariance is:

$Cov(X, Y)=n\cdot \sum XY-\sum X \cdot\sum Y$

The formula to compute the variances are:

$V(X)=n\cdot\sum X^{2}-(\sum X)^{2}\\V(Y)=n\cdot\sum Y^{2}-(\sum Y)^{2}$

Consider the table attached below.

Compute the covariance as follows:

$Cov(X, Y)=n\cdot \sum XY-\sum X \cdot\sum Y$

$=(5\times 165)-(30\times 25)\\=75$

Thus, the covariance is 75.

Compute the variance of X and Y as follows:

$V(X)=n\cdot\sum X^{2}-(\sum X)^{2}\\=(5\times 226)-(30)^{2}\\=230\\\\V(Y)=n\cdot\sum Y^{2}-(\sum Y)^{2}\\=(5\times 135)-(25)^{2}\\=50$

Compute the correlation coefficient as follows:

$r(X, Y)=\frac{Cov(X, Y)}{\sqrt{V(X)\cdot V(Y)}}$

$=\frac{75}{\sqrt{230\times 50}}$

$=0.69937\\\approx0.70$

Thus, the Pearson's coefficient of correlation between the is 0.700.

5 0

3 years ago

Exercise 8.12 introduces data on the average monthly temperature during the month babies rst try to crawl (about 6 months after

Afina-wow [57]

Answer:

The point has a high leverage

Step-by-step explanation:

The point has a high leverage as it would act as an infinitesimal point that will have a very huge/drastic impact on the fit of the model, and this impact can be seen in such ways as listed below :

Smaller coefficient of determination
Higher sum of squares error

removing this point will eliminate these drastic impact and make the correlation to be better.

5 0

3 years ago

L 3.1.4 Quiz: Limits Practice Consider the following graph of y= f(x): n 2 2 0 What is the lim f(x)? A. 1 O B. 2 O c. C. - 2 D.

loris [4]

Answer:

I would appreciate if my answer is chosen as a brainliest answer

5 0

2 years ago