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Colt1911 [192]
3 years ago
10

What is the counterexample for "If two numbers are odd, then theri sum is odd"​

Mathematics
1 answer:
rodikova [14]3 years ago
8 0

Answer:

a counterexample is 5+7=12

Step-by-step explanation:

this is because 5 and 7 are both odd numbers. when you add these numbers, you get 12. 12 is an even number.

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Jay earned $220 during the summer for delivering magazines. He bought 5 shirts worth $15 each using his magazine money. How much
Yuri [45]
$15 x 5=$75
$220 - $75=$145
7 0
3 years ago
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Help me on this please !
inna [77]

Answer:

24.08

Step-by-step explanation:

We use the Pythagorean theorem and we get (16)^2 + (18)^2 = (x)^2

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7 0
2 years ago
Sophie can peel all the potatoes by herself in 45 minutes, while it would take Simon 30 minutes to do the job working alone. If
Degger [83]

Answer:

18 minutes

Step-by-step explanation:

Sophie can peel all potatoes in 45 minutes, in 1 minute she can peel:

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Simon can peel all potatoes in 30 minutes, in 1 minute he can peel:

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Together, in 1 minute they can peel:

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To peel all the potatoes they need:

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So it will take them 18 minutes to peel all the potatoes

7 0
3 years ago
10 - 2.5x &gt; 35<br>I need help​
kvasek [131]

Answer:

x<-10

Step-by-step explanation:

10-2.5x>35

2.5x>10-35

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x>-25/2.5

x>-10

x<-10

8 0
2 years ago
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A real estate builder wishes to determine how house size (House) is influenced by family income (Income), family size (Size), an
creativ13 [48]

When analyzing the multiple regression model, the real estate builder should be concerned with Multicollinearity.

<h3 /><h3>What is Multicollinearity?</h3>

This is a phenomenon in regression analysis where some of the independent variables are correlated. This can present an issue because the correlation leads to less reliable results.

The income in this research is influenced by the education and they both influence family size. There is therefore an issue of multicollinearity here because some variables are correlated.

Find out more on Multicollinearity at brainly.com/question/16021902.

8 0
2 years ago
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