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k0ka [10]
3 years ago
14

6 • [7 + (15 – 8)] ÷ 3

Mathematics
2 answers:
Arlecino [84]3 years ago
5 0
The answer is 28 hope this helps 
Rudik [331]3 years ago
3 0
49 download photomath in the app store

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Which of the following proportions could be used to convert 3600 feet into miles
MA_775_DIABLO [31]

Answer:

Go with the 2nd choice.

Step-by-step explanation:

When using proportions to solve for unknown quantities, you need to keep the same units on the same side. This means keep "ft" on the top side and "mi" on the bottom side.

6 0
4 years ago
PLZ HELP!
Natasha2012 [34]

Answer:

4 times greater

Step-by-step explanation:

Prism A

SA = 2 (lw+wh+lh)  where l is length w is width and h is height

SA = 2 ( 5*6+ 6*7+ 5*7)

SA = 2(30+42+35)

SA = 2(107)

SA =214

Prism B

SA = 2 (lw+wh+lh)  where l is length w is width and h is height

SA = 2 ( 10*12+ 12*14+ 10*14)

SA = 2(120+168+140)

SA = 2(428)

SA =856

Robert is not correct

856/214 =4

Prism B is 4 times greater

7 0
3 years ago
Read 2 more answers
Consider this scenario: The population of a city increased steadily over a ten-year span. The following ordered pairs show the p
vova2212 [387]

Answer:

Regression function: y=1986.406+0.0059x

The function predicts that population will reach 14,000 in year 2068.

Step-by-step explanation:

We have to determine a function y=b_0+b_1x_1 by applying linear regression. The data we have is 5 pair of points which relates population to year.

According to the simple regression model (one independent variable), if we minimize the error between the model (the linear function) and the points given, the parameters are:

b_0=\bar{y}+b_1\bar{x}\\\\b_1=\frac{\sum\limits^5_{i=1} {(x_i-\bar x)(y_i-\bar y)}}{\sum\limits^5_{i=1} {(x_i-\bar x)^2}}

We start calculating the average of x and y

\bar x=\frac{2500+2650+3000+3500+4200}{5}=\frac{15850}{5}=3170\\\\ \bar y=\frac{2001+2002+2004+2007+2011}{5}=\frac{10025}{5}=2005

The sample covariance can be calculated as

\sum\limits^5_{i=1} {(x_i-\bar x)(y_i-\bar y)}=(2500-3170)(2001-2005)+(2650-3170)(2002-2005)+(3000-3170)(2004-2005)+(3500-3170)(2007-2005)+(4200-3170)(2011-2005)\\\\\sum\limits^5_{i=1} {(x_i-\bar x)(y_i-\bar y)}=2680+1560+170+660+6180\\\\ \sum\limits^5_{i=1} {(x_i-\bar x)(y_i-\bar y)}=11250

The variance of x can be calculated as

\sum\limits^5_{i=1} {(x_i-\bar x)^2}=(2500-3170)^2+(2650-3170)^2+(3000-3170)^2+(3500-3170)^2+(4200-3170)^2\\\\\sum\limits^5_{i=1} {(x_i-\bar x)^2}=448900+270400+28900+108900+1060900\\\\\sum\limits^5_{i=1} {(x_i-\bar x)^2}=1918000

Now we can calculate the parameters of the regression model

b_1=\frac{\sum\limits^5_{i=1} {(x_i-\bar x)(y_i-\bar y)}}{\sum\limits^5_{i=1} {(x_i-\bar x)^2}}=\frac{11250}{1918000}=0.005865485  \\\\ b_0=\bar{y}+b_1\bar{x}=2005-0.005865485*3170=1986.406413

The function then become:

y=1986.406+0.0059x

With this linear equation we can predict when the population will reach 14,000:

y=1986.406+0.0059(14,000)=1986.406+82.117=2068.523

6 0
3 years ago
Please l need help with this system of equation. Solve the system by the method of substitution.
tatyana61 [14]
Y = ( 3 / 4 )x - 4 and ( 3 / 2 )x + ( 3 / 4 )y = 16 ;
Then, ( 3 / 2 )x + ( 3 / 4 )[ ( 3 / 4 )x - 4 ] = 16 ;
( 3 / 2 )x + ( 9 / 16 )x - 3 = 16 ;
( 3 / 2 )x + ( 9 / 16 )x = 19 ;
( 24 / 16 )x + ( 9 / 16 )x = 304 / 16 ;
24x + 9x = 304 ;
33x = 304 ;
x = 9.(21);
y = ( 3 / 4 ) × 9.(21) - 4 = 2.90 ;
5 0
3 years ago
A zookeeper measured the lengths of green iguanas to chart their growth. She plotted her results on the line plot
Snezhnost [94]
I'm glad she had the time and effort to do so. however, is there a question?
6 0
3 years ago
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