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professor190 [17]
3 years ago
11

PLEASE ANSWER AND EXPLAIN | 98 POINTS

Mathematics
2 answers:
umka2103 [35]3 years ago
6 0

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)

9966 [12]3 years ago
3 0

<em>Answer:</em>

<em>d</em>

<em />

<em>0.9</em>

<em />

<em>The value of a correlation coefficient ranges between -1 and 1.</em>

<em />

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

<em />

<em>The strongest linear relationship is indicated by a correlation coefficient of -1 or 1.</em>

<em />

<em>The weakest linear relationship is indicated by a correlation coefficient equal to 0.</em>

<em />

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

<em />

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

<em />

<em />

<em>hope it helps.</em>

<em />

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If we want a confidence interval with greater precision that is smaller width, we have to choose the higher sample size.

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Answer:

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