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PLEASE ANSWER AND EXPLAIN | 98 POINTS

PLEASE ANSWER AND EXPLAIN | 98 POINTS-example-1

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Answer-

- 0.9 represents the strongest correlation

Arrangement

Correlation coefficient-

Correlation coefficient measuring a linear relationship between the two variables shows the measure of variation of one variable represented by the other variable.

The coefficient of correlation dependably lies between – 1 and 1, including both the constraining qualities, for example

The more closer its outright incentive to 1, the stronger the relationship is.

In the event that r is - ve, at that point the relationship is negative (i.e in the event that one increases, at that point the other must decrease)

On the off chance that r is +ve, at that point the relationship is certain (i.e on the off chance that one increases, at that point the other must increase)

As, in the event of - 0.9, its supreme esteem 0.9 is more closer to 1, so it is the strongest correlation (strong-negative correlation)

User Bigblind
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3 votes

Answer:

d

0.9

The value of a correlation coefficient ranges between -1 and 1.

The greater the absolute value of the Pearson product-moment correlation coefficient, the stronger the linearrelationship.

The strongest linear relationship is indicated by a correlation coefficient of -1 or 1.

The weakest linear relationship is indicated by a correlation coefficient equal to 0.

A positive correlation means that if one variable gets bigger, the other variable tends to get bigger.

A negative correlation means that if one variable gets bigger, the other variable tends to get smaller.

hope it helps.

User Chrisst
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