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n200080 [17]
2 years ago
8

US

Mathematics
1 answer:
SOVA2 [1]2 years ago
6 0
<h3>Solution:</h3>

{7}^{3} \\   = 7 \times 7 \times 7  \\  = 7^{1 + 1}  \times 7 \\  =  {7}^{2}  \times 7 \\  = 49 \times 7

<h3>Answer:</h3>

49

<h3>Hope it helps...</h3>

ray4918 here to help

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Explain how you can mentally determine whether there is a remainder when 18,450 is divided by 6
scZoUnD [109]
I divided 18450 divide by 6 I got 3,075
5 0
3 years ago
4) A safe contains 120 coins, the value of which is $10. If the coins consist of nickels and dimes, how many of each kind are in
alexandr1967 [171]
There are 40 nickels and 80 dimes
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
Find the balance after each transaction for problems 8–14.<br> The beginning balance is $752.00?
hram777 [196]

Answer:

8: $732.03

9: $629.52

10: $1281.52

11: $731.52

12: $653.52

13: $1090.52

14: $851.52

Step-by-step explanation:

<em>The </em><em>Amount of Trans</em><em> shows us that we </em><u><em>subtract</em></u><em> those numbers from the balance and the </em><em>Amount of Deposit</em><em> shows us that we </em><u><em>add</em></u><em> those numbers to the balance.</em>

<em />

3 0
2 years ago
1. If I can buy 3 pounds of grapes for $7.00, how much will 12 pounds cost?
Sladkaya [172]
7*4= $28 (hope this help!)
6 0
2 years ago
Read 2 more answers
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