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3 years ago

Which r–value represents the strongest negative correlation? –0.7 –0.22 0.38 0.9

Mathematics

2 answers:

Inga [223]3 years ago

5 0

Answer:

–0.7

Step-by-step explanation:

The correlation is the link between two variables. It only tells that there is a link between the two but the cause or other information cannot be obtained from correlation.

The correlation can be negative or positive. The value lies between zero and one.

Value closer to one or -1 means strong correlation and value close to zero means weaker correlation.

From the given options only two values show negative correlation and -0.7 is closest to -1 so it is the strongest ..

Evgen [1.6K]3 years ago

4 0

Answer:

-0.7

Step-by-step explanation:

just took it

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Orlov [11]

Answer:

Step-by-step explanation:

Given Parameters

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total samples, n = 20

Standard dev, $\sigma$ = 30

$\alpha$ = 1 - 0.95 = 0.05 at 95% confidence level

Df = n - 1 = 20 - 1 = 19

Critical Value, $t_\alpha$ , is given by

$t_{c}=t_{\alpha, df} = t_{0.05,19} = 1.729$

a).

Confidence Interval, $\mu$ , is given by the formula

$\mu = x +/- t_c \times \frac{s}{\sqrt{n} }$

$\mu = 180 +/- 1.729 \times \frac{30}{\sqrt{20} }$

$\mu = 180 +/-11.5985$

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b).

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Confidence Interval, $\mu$ , is given by

$\mu = x +/- t_c \times \frac{s}{\sqrt{n} }$

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