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3 years ago

5

If the scale factor for the dilation shown is 3 which is the length of B’ C’

2 answers:

lana66690 [7]3 years ago

5 0

Answer:

15 its 15 dont listen to the guy who said a

Step-by-step explanation:

photoshop1234 [79]3 years ago

3 0

Answer: A 5/3

Step by step explanation:
If the dilation is 3 then simply divide the number (5) by 3 and you’ll get your answer

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What is equivlent to 15x-20

Tanzania [10]

Answer:

5(3x - 4)

Step-by-step explanation:

5(3x - 4)

use the distributive property

15x - 20

so its correct

8 0

3 years ago

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

54% in simplest form

Papessa [141]

As a fraction, 54% is 27/50.

4 0

3 years ago

Read 2 more answers

What operation does the Product Rule use

kumpel [21]

Answer:

addition

Step-by-step explanation:

Example: 5^1 * 5^3= 5^4

4 0

3 years ago

How many 3/4 ounce spoonfuls of sugar<br> are in a 5 1/2 ounce bowl?<br> show work please

klasskru [66]

Answer: $\frac{22}{3}$

Step-by-step explanation: Divide

$5\frac{1}{2}\div \frac{3}{4}$

Step 1: Convert the mixed number to improper fraction

$5 \frac{1}{2} =\frac{11}{2}$

$= \frac{11}{2}\div \frac{3}{4}$

Step 2: Reciprocal

$\frac{11}{2}\times \frac{4}{3}$

Step 3: Divide the common factors

$4 \div 2 = 2\\\\=\frac{11}{1}\times \frac{2}{3}$

Step 4: Multiply

$\frac{11\times \:2}{1\times \:3}\\\\=\frac{22}{3}$

5 0

3 years ago