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2 years ago

Connor earns $23 every 1.5 hours. How many dollars would he earn after working 3 hours and 6 hours

2 answers:

8 0

By working 3 HOURS = $46.00
By working 6 HOURS = $92.00

When you multiply 1.5 two times, making it 1.5 × 2, you would get 3. So you could just multiply 23 two times to get the answer for the amount of money you get in three hours, because what you do to one number, you do the same to the other number (speaking of ratios and fractions.)

And what I did, was divide the amount is 3 hours, which is 46, by 3, to find how much you get in 1 hour. It is a repeated decimal. And then I multiplied that by 6 to find how many he would get in 6 hours, and I got 92. So in 3 HOURS = $46.00, and in 6 HOURS = $92.00

Viefleur [7K]2 years ago

5 0

92 for 6 hrs, and 46 for every 3.

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2 years ago

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WITCHER [35]

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2 years ago

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Find the solution of the given initial value problem. ty' + 6y = t2 − t + 1, y(1) = 1 6 , t > 0

gtnhenbr [62]

Answer:

Step-by-step explanation:

Given is a differential equation as

$ty' + 6y = t^2 - t + 1, y(1) = 1 6 , t > 0$

Divide this by t to get in linear form

$y'+6y/t = t-1+1/t$

This is of the form

y' +p(t) y = Q(t)

where p(t) = 1/t $e^(\int 1/tdt) = t$

So solution would be

$yt = \int t^2-t+1 dt\\= t^3/3-t^2/2+t+C$

siubstitute y(1) = 16

$16 = 16^3/3-128+1+C\\C = -1206$

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2 years ago

What is the slope of the line that passes through the points (-6, 8) and (-9, 7)? Write your answer in simplest form.

yanalaym [24]

Answer:

m=1/3

equation y=1/3x+10

Step-by-step explanation:

Find the rise and run.

1. -6--9=run=3

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1 year ago

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Suppose the correlation between height and weight for adults is 0.80. What proportion (or percent) of the variability in weight

gulaghasi [49]

Answer: 64% of the variability in weight can be explained by the relationship with height.

Step-by-step explanation:

In statistics, Correlation coefficient is denoted by 'r' is a measure of the strength of the relationship between two variables.
Coefficient of determination, $r^2$ , is a measure of variability in one variable can be explained variation in the other.

Here, r= 0.80

$\Rightarrow\ r^2= (0.80)^2=0.64$

That means 64% of the variability in weight can be explained by the relationship with height.

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2 years ago