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Andreas93 [3]
2 years ago
5

Evaluate the expression and enter the answer as a fraction in lowest terms, using the slash (/) for the fraction bar.

Mathematics
1 answer:
Naya [18.7K]2 years ago
8 0

Answer:

5/21

Step-by-step explanation:

Change division sign to multiplication and flip second fraction upside down

1/3 x 5/7 =  5/21

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Help last one thank you
loris [4]
48-2x=96---------   -2x=48--------- x=-24.   You multiply everything by 6 then solve.
8 0
3 years ago
Mark save $258 more than Neil. In fact Mark saved $7 for every $4 Neil saved. How much money did Mark say?
olasank [31]

Let

x---------> amount of money saved by Mark

x---------> amount of money saved by Neil


we know that

x=y+258-------> equation 1

x/y=(7/4)-------> equation 2

substitute equation 1 in equation 2

(y+258) /y=7/4--------> 4*(y+258)=7*y------> 4y+1032=7y

7y-4y=1032--------> 3y=1032------> y=$344

x=344+258------>x=$602


the answer is

$602

6 0
3 years ago
Simplify the expression.<br> (-3+6)(-3+5)
Kipish [7]

Answer:

6

Step-by-step explanation:

first you do -3+6 which is 3.

then, u do -3+5 which is 2

multiply it and u get 6

5 0
3 years ago
Evaluate the following expression.<br><br> 10 x 1 + 2 x 60/10
g100num [7]

Answer:

22

Step-by-step explanation:

10*1=10

then as we know first we should do multiplier and division so,

2*60=120, 120/10=12

10+12=22

3 0
3 years ago
Read 2 more answers
A local trucking company fitted a regression to relate the travel time (days) of its shipments as a function of the distance tra
scZoUnD [109]

Answer:

4.038

Step-by-step explanation:

The simple regression model is:

Time = \hat\beta _{0} + \hat\beta_{1}Distance = -7.126 + 0.0214Distance, then \hat\beta_{1} = 0.0214.

The statistic calculated for the hypothesis test of statistical significance, for the slope, in a simple regression model is given by:

t_{c} = \frac{\hat\beta_{1}-\beta_{1_{0}}}{SE}

with \hat\beta_{1}  the slope estimator, \beta_{1_{0}}  the value of slope in the null hypothesis and SE the standard error of the slope. Thus,

t_{c} = \frac{0.0214-0}{0.0053} = 4.038

5 0
3 years ago
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