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podryga [215]
2 years ago
10

URGENT!!!

Mathematics
1 answer:
MatroZZZ [7]2 years ago
6 0

Answer: 0.15%

Step-by-step explanation: edmentum

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You ride your bike at an average of 12 miles per hour on the way to school, and at an average of 15 miles per hour on the way ho
-Dominant- [34]

Answer:

2.44 miles

Step-by-step explanation:

Give the following :

Average miles to school = 12 miles per hour

Average Miles from school = 15 miles per hour

Total ride time : ( time to school + time from school) = 22 minutes = (22/60) = 0.3667

Recall:

Speed = distance / Time

Time = distance / speed

Let distance = d

For the scenario described :

d/12 + d/15 = 0.3667

(5d + 4d) / 60 = 0.3667

5d + 4d = 22

9d = 22

d = 22/9

d = 2.44 miles

6 0
3 years ago
Deion is purchasing cat food. The brand he plans to buy comes in two seizes.
murzikaleks [220]

Answer:

40

Step-by-step explanation:

15 divided by 3 is 5

so each pound is 5 dollars.

now do 5 times 8

that gives you 40

the big bag is 40 dollars

5 0
2 years ago
Jordan is considering buying her first home. The house she is interested in
Ymorist [56]

Answer:

B) $697.87

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
you pay 3.3 cents per minute for long-distance phone calls on your phone. your phone bill is $3.40 write and solve an equation t
MaRussiya [10]
If you would like to know the number of minutes of long-distance calls you made, you can calculate this using the following steps:

3.3 cents = $0.033
m = $3.40 / 3.3 cents
m = $3.40 / $0.033 = 3.40 / 0.033
m = 103.03 minutes 

The correct result would be <span>103.03 minutes.</span>
5 0
3 years ago
Professor wonders whether a student's homework average (X) could be used to predict their final grade in the course (Y) . She ca
Anna11 [10]

Answer:

The dependent variable is the final grade in the course and is the vriable of interest on this case.

H0: \beta_1 = 0

H1: \beta_1 \neq 0

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

Step-by-step explanation:

On this case w ehave the following linear model:

Y= 21.839 +0.724 X

Where Y represent the final grade in the course and X the student's homework average. For this linear model the slope is given by \beta_1 = 0.724 and the intercept is \beta_0 = 21.839

Which is the dependent variable, and why?

The dependent variable is the final grade in the course and is the vriable of interest on this case.

Based on the material taught in this course, which of the following is the most appropriate alternative hypothesis to use for resolving this question?

Since we conduct a regression the hypothesis of interest are:

H0: \beta_1 = 0

H1: \beta_1 \neq 0

And if we reject the null hypothesis we can conclude that we have a significant relationship between the two variables analyzed.

3 0
3 years ago
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