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defon
3 years ago
7

The table shows the distances and times that four rowboats traveled. Which rowboat was the fastest?

Mathematics
1 answer:
g100num [7]3 years ago
8 0

Answer: the answer is C

Step-by-step explanation:

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Find the distance speed=72km/h time=45mins
butalik [34]

The distance is 54 km if the speed and time are 72 km/h and 45 minutes respectively.

<h3>What is distance?</h3>

Distance is a numerical representation of the distance between two items or locations. Distance refers to a physical length or an approximation based on other physics or common usage considerations.

We have:

Speed = 72 km/h

time = 45 mins = 45/60 = 0.75 hours

We know,

Distance = Speed×time

Distance = 72(km/h)×0.75(h)

Distance = 54 km

Thus, the distance is 54 km if the speed and time are 72 km/h and 45 minutes respectively.

Learn more about the distance here:

brainly.com/question/26711747

#SPJ1

8 0
1 year ago
Write sin 33° in terms of cosine
Greeley [361]
Cos 57 it has to add up to 90
3 0
3 years ago
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The population of a town is decreasing by 5% each year. If the population starts at 5,000 people, which of the following exponen
Alexxandr [17]

Answer:

D

Step-by-step explanation:

The population decreases by 5% each year, so each year, the population is 0.95 of last year's population. Over many years, you need an expression that has 0.95 raised to the number of years.

Answer: D

3 0
1 year ago
On the first statistics exam, the coefficient of determination between the hours studied and the grade earned was 80%. The stand
xxMikexx [17]

Answer:

Check the explanation below and the attached files.

Step-by-step explanation:

Hello!

With the given information you need to develop an ANOVA table for the regression analysis, with variables X: hours studied as predictor and Y: grade earned on the first statistic exam as the dependent variable.

The ANOVA table in the first attached file shows in a general way each element of it and how they are calculated.

The information you have is:

Sample n= 26

Se= 12 ⇒ Se²= 144

R²= 0.80

Number of independent variables k= 1

First: The easiest step is to calculate the degrees of freedom

Degrees of freedom of the treatment (regression) DfTr= k= 1

Degrees of freedom of the residual DfE= n - 2 = 26 - 2 = 24

Degrees of freedom of the totals DfT= n - 1 = 26 - 1 = 25

To calculate the Square Sums you have to use the values of Se and R²

The sample variance of the residues (Se²) (also the Mean Square of Residues) and you calculate it as the Sum Square of residues divided the degrees of freedom of the residues.

Se²= MSE = SSE/DfE

SSE= MSE * DfE = 144*24= 3456

The coefficient of determination is calculated as the division between the Square Sum of treatment and the Square Sum of the Totals.

R²= SStr/SST ⇒ SStr= R² * SST (1)

And the Sum of Squares of the Total is the sum of the Sum of Squares of the tratment and the Sum of Squares of the resudues.

(2) SST = SStr + SSE

Using a doble equation system, replacin (1) in (2):

SST = SStr + SSE ⇒ SST = (R² * SST) + SSE

SST - 0.8*SST= SSE

0.2*SST = SSE

SST = SSE/0.2 = 3456/0.2

SST = 17280

Then:

SStr= R² * SST = 0.8 * 17280

SStr= 13824

Now the only elements of the table that are left are the MSTr and the velue of the Statistic.

MSTr= SStr/DfTr= 13824/1 = 13824

F= MStr/MSE = 13824/144 = 96

Check the 2nd attachment, I've summarized all calculation into the table.

I hope it helps!

8 0
3 years ago
Please help me !!! THIS QUESTION IS EXTREMELY DIFFICULT FOR ME
grandymaker [24]

Answer:

(5 ,1) constant of proportionality

4 0
2 years ago
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