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3 years ago

11

Please help me thank you!!

1 answer:

AURORKA [14]3 years ago

5 0

Emma completed the problem correctly i believe

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Which set of numbers could be the length of the sides of a triangle?

liraira [26]

Answer:

B

Step-by-step explanation:

Because two sides of the triangle are the same length

4 0

2 years ago

What is 56x56 and how much can i give away and still have 500

Zolol [24]

56x56=3136 you would divide that by 500 and get 6.272

8 0

2 years ago

Read 2 more answers

In a study relating the degree of warping, in mm, of a copper plate (y) to temperature in °C (x), the following summary statisti

kipiarov [429]

Answer:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

Step-by-step explanation:

Linear regression is a way "to modeling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables)".

Regression estimates are "used to describe data and to explain the relationship between one dependent variable and one or more independent variables"

The linear model is given by the following equation $Y=mx +b$ , where y is the dependent variable, x the independent variable, m the slope and b the intercept.

For this case we have the following info given:

$\sum_{i=1}^n (x_i -\bar x)^2 =98775$

$\sum_{i=1}^n (y_i -\bar y)^2 =19.4$

$\bar x =26.36$

$\bar y =0.5188$

n= 40 represent the sample size

$\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y) =796.94$

The total sum of squares is given by this formula:

$SST= \sum_{i=1}^n (y_i -\bar y)^2 =19.4$

And from the formulas for a simple regression, we need to calculate the slope for the regression like this:

$m=\frac{\sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)}{\sum_{i=1}^n (x_i -\bar x)^2}$

And if we replace the values given we have:

$m=\frac{796.94}{98775}=0.008068$

We have another useful equation in order to find the sum of squares for the regression, given by:

$SSR=m* \sum_{i=1}^n (x_i -\bar x)(y_i -\bar y)=0.008068*796.94=6.430$

And we know this equivalence:

$SST= SSR+SSE$

And solving for the sum of squares for the error we have:

$SSE=SST-SSR=19.4-6.430=12.97$

So then we have the final solutions:

The error sum of squares is SSE=12.97

The regression sum of squares is SSR=6.430

The total sum of squares is SST=19.4

6 0

3 years ago

kozerog [31]

Answer:

the answer for this question is

A(-3,0)

5 0

3 years ago

Write the expression as a square of a monomial.

frozen [14]

Answer:

The square of a monomial is $(9x^2)^2$

Step-by-step explanation:

Consider the provided monomial.

$81x^4$

We need to Write the expression as a square of a monomial.

The above expression can be written as:

$9\times 9\times x^2\times x^2$

$9^2(x^2)^2$

$(9x^2)^2$

Hence, the square of a monomial is $(9x^2)^2$

8 0

3 years ago