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s344n2d4d5 [400]
3 years ago
14

What is Anita speed rounded to the nearest hundred

Mathematics
2 answers:
marysya [2.9K]3 years ago
5 0
What is Anita's speed?
ankoles [38]3 years ago
3 0
Who is anita? and wheres the actual question?
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What is the rate of change (2,20) and (5,47) ?
ipn [44]

Answer:

3,27

Step-by-step explanation:

3 0
3 years ago
Barbara uses 1 3/4 teaspoons of sugar to make a cup of hot chocolate. How many teaspoons of sugar should be use to make 10 cups
Amiraneli [1.4K]
17.5 teaspoons of sugar
6 0
3 years ago
What is the range of the data? 99.7, 101.8, 103.6,98.6, 100.2, 102.9
erik [133]

Answer:

5.0

Step-by-step explanation:

The data in order looks like so:

98.6, 99.7, 100.2, 101.8, 102.9, 103.6

Take the greatest value and subtract it from the least value to get the range of the data:

103.6-98.6=5

5 is your answer

Hope this helps!

7 0
3 years ago
Read 2 more answers
Patel squeezed oranges so that his family could have fresh-squeezed juice for breakfast. He squeezed StartFraction 4 over 17 End
IgorC [24]

Answer:

\approx \frac{11}{40}

Step-by-step explanation:

Juice squeezed from first orange = \frac{4}{17} = 0.235

Juice squeezed from second orange = \frac{3}{10} = 0.3

Juice squeezed from third orange = \frac{9}{20} = 0.45

Juice squeezed from fourth orange = \frac{3}{11} = 0.27

Juice squeezed from fifth orange = \frac{7}{15} = 0.47

Total juice squeezed from all the five oranges = 0.235 + 0.3 + 0.45 + 0.27 + 0.47 = 1.725

Total juice to be squeezed = 2 cups

More juice required = 2 - 1.725 = 0.275 \approx \frac{11}{40}

Therefore, to make it 2 cups of orange juice for the family, about \approx \frac{11}{40} cups of more juice is required.

8 0
3 years ago
Read 2 more answers
Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight
Schach [20]

Answer:

We are given the correlation between height and weight for adults is 0.40.

We need to find the proportion of the variability in weight that can be explained by the relationship with height.

We know that coefficient of determination or R-square measures the proportion or percent of variability in dependent variable that can be explained by the relationship with independent  variable. There the coefficient of determination is given below:

R^{2}=r^{2}=0.40^{2}=0.16

Therefore, the 0.16 or 16% of the variability in weight can be explained by the relationship with height



7 0
3 years ago
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