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timofeeve [1]
3 years ago
5

You are given two side lengths of 5 feet and one side length of 10 feet. How many triangles can be constructed using these measu

rements?
Question 4 options:

one


two


many


none
Mathematics
1 answer:
dangina [55]3 years ago
6 0
None I;njbhjbhufghvhjgufyvgyvhvgufgyfgyknjhfjhdjhvdhbfbdhjbfdjbcdbh
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Landon scored an 85% on his test. If he got 34 problems correct, how many were on the test?
Sergeu [11.5K]

Answer:

There are 40 problems on the test

Step-by-step explanation:

Let p = the number of problems on the test

The number of problems on the test times the percent correct is the number correct

p * 85% = 34

p * .85 = 34

Divide each side by .85

p * .85/.85 = 34/.85

p = 40

There are 40 problems on the test

6 0
2 years ago
Which expression is equivalent to -2.1 + (-5.9) + (-3.7)?
devlian [24]
I think the best answer would be (A) (2.1+5.9+3.7) but the only difference is that one is negative an the other is positive
4 0
3 years ago
Plz plz plz help me with this​
AnnZ [28]

Answer:

m∠A = 65°

Step-by-step explanation:

<em>Opposite angles of the quadrilateral add up to 180</em>.

This means x + 148 = 180 -> <em>x = 32</em>.

m∠A = 2x + 1 -> 2(32) + 1

m∠A = 65°.

4 0
3 years ago
Question: The stem-and-leaf plot shows the test scores of a science class. Use the plot to answer the question.
Nikitich [7]
The mode of the data is 8
7 0
3 years ago
Read 2 more answers
The following quote is from a paper on the weight of the bottle as a possible extrinsic cue with which to estimate the price (an
yuradex [85]

Answer:

1. a. Weak

2. r^2=0.0169

The variation in the price of the wine explained by the variation in the weight of the bottle is 1.69%.

Step-by-step explanation:

The correlation between the weight of the wine bottles and the price of the wine is r=0.13.

The values for r goes from r=-1, where a perfect negative correlation to r=1 for a perfect positive correlation. The value r=0 indicates no correlation at all.

Then, a value of r close to 0 indicates very weak correlation between the two variables.

The value for r^2 in this case is:

r^2=0.13^2=0.0169

The value of r2 can be interpreted as the proportion of the variation in the dependant variable explained by the independent vairable. In this case, the variation in the price of the wine explained by the variation in the weight of the bottle is 1.69%, which is very close to 0.

8 0
3 years ago
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