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Arada [10]
3 years ago
15

Please help thank you!​

Mathematics
1 answer:
Setler79 [48]3 years ago
7 0

Answer:

(d) WEAK NEGATIVE ASSOCIATION.

Step-by-step explanation:

Pearson correlation (r) is defined as a factor which measures the linear dependence between two variables (x and y). It's also known as a parametric correlation.

Here, r = -0.19

Now, as r is NEGATIVE.

⇒ As the value of x increases , value of y decreases.

⇒There is a  NEGATIVE ASSOCIATION.

Now as the value of r is between 0 and ( -1). So the factor of variation is very small.

Hence, it is WEAK NEGATIVE ASSOCIATION.

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12/65 into a simplified fraction
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12/65 divide by two if is simplified tell me ok
5 0
3 years ago
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Simplify expression x^2 - xy + 2x/ 2x, step by step please. ​
Papessa [141]

Answer:

x^2 - xy + 1

Step-by-step explanation:

x^2 - xy + 2x/2x

2x/2x = 1

x^2 - xy + 1

This is the furthest we can simplify this expression with the given information.

4 0
3 years ago
Graph the line with slope – 2 passing through the point (-5,5).
34kurt

Answer:

y = -2x - 5

Step-by-step explanation:

y = -2x + b

- To find the y-intercept, plug the values of the variables.

5 = -2(-5) + b

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- Subtract 10 from both sides.

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3 0
3 years ago
Need help on this thank you
krok68 [10]

Answer:

a=7

Step-by-step explanation:

24^2+a^2=25^2

576+a^2=625

49=a^2

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5 0
3 years ago
Assume that the random variable X is normally distributed, with mean 60 and standard deviation 16. Compute the probability P(X &
elixir [45]

Answer:

P(X < 80) = 0.89435.

Step-by-step explanation:

When the distribution is normal, we use the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

\mu = 60, \sigma = 16

P(X < 80)

This is the pvalue of Z when X = 80. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{80 - 60}{16}

Z = 1.25

Z = 1.25 has a pvalue of 0.89435.

So

P(X < 80) = 0.89435.

5 0
3 years ago
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