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Kryger [21]
2 years ago
7

What would be the correlation coefficient (r) of the following scatter plot?

Mathematics
1 answer:
luda_lava [24]2 years ago
8 0

Answer:

-0.89 (i think)

Step-by-step explanation:

Since the graph seems to be going downwards from the right, it has a negative correlation. And since the data seems to be pretty close together, the correlation must be strong. That narrows the answer down to -0.89

If its wrong then i'm not a smart person, and it's -0.15

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lozanna [386]

Answer:

x ≈ 3.5 cm

Step-by-step explanation:

Using the sine ratio in the right triangle

sin23° = \frac{opposite}{hypotenuse} = \frac{x}{y} = \frac{x}{9} ( multiply both sides by 9 )

9 × sin23° = x , then

x ≈ 3.5 cm ( to 1 dec. place )

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The number of sails you could make for $10,000 if the sail material costs $30 per square yard
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3 years ago
What is the domain of -7,1
PSYCHO15rus [73]

Answer:

Domain? Do you by chance mean quadrant? If so it's the 3rd quadrant.

Step-by-step explanation:

In the future try to imagine quadrant 1 in the top right and then going counter-clockwise! It'll help!

6 0
3 years ago
1. A researcher tested the diastolic blood pressure of 15 marathon runners and 15 non-runners. The mean for the runners was 75.9
dlinn [17]

Answer:

Calculated value t =0.0109 < t = 1.701 at 28 degrees of freedom at 0.05 level of significance.

running a good way to lower a person's blood pressure

Step-by-step explanation:

<u>Step :1</u>

A researcher tested the diastolic blood pressure of 15 marathon runners and 15 non-runners

The first sample size is n₁ =15

The second sample size is n₂ =15

Given data the mean for the runners was 75.9 mm Hg with an SS of 1,500

The mean of the first sample x₁⁻ = 75.9 mm

The mean of the second sample x₂⁻   = 80.3mm

The standard deviation of the first sample (S₁) = 1,500

The standard deviation of the second sample (S₂) = 8

<u>Step 2</u>:-

<u>Null hypothesis </u>:- H₀ :  x₁⁻ = x₂⁻

<u>Alternative hypothesis</u>:- H₁ :  x₁⁻ ≠ x₂⁻

<u>level of significance</u> :- α= 0.05

The test statistic t = \frac{x_{1}^- -x_{2}^-  }{S\sqrt{\frac{1}{n_{1} } +\frac{1}{n_{2} } } }

where S^{2} =\frac{n_{1}S_{1} ^2+n_{2}S_{2} ^2 }{n_{1}+n_{2}-2}

n₁ =15 ,n₂ =15 x₁⁻ = 75.9 mm ,x₂⁻   = 80.3mm and (S₁) = 1,500 and (S₂) = 8

substitute all values in above equation, we get

S^{2} =\frac{15X(1500) ^2+15X(8) ^2 }{15+15-2}

s^2 = 1,205,391.42

Standard deviation = √1,205,391.42 = 1097.903

<u>Step 3</u>:-

The test statistic

                 t = \frac{x_{1}^- -x_{2}^-  }{S\sqrt{\frac{1}{n_{1} } +\frac{1}{n_{2} } } }

x₁⁻ = 75.9 mm ,x₂⁻   = 80.3mm, n₁ =15 ,n₂ =15 and S = 1097.903

The test statistic value t = -0.01097

modulus t = 0.0109

Calculated value t =0.0109

The degrees of freedom γ=n₁+n₂ -2 = 15+15 -2 =28

From t- distribution table

From tabulated value t = 1.701 at 28 degrees of freedom at 0.05 level of significance.

Calculated value t =0.0109 < t = 1.701 at 28 degrees of freedom at 0.05 level of significance.

Therefore we accepted null hypothesis.

running a good way to lower a person's blood pressure

   

3 0
4 years ago
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