Question

In: Math

The correlation coefficient r is a sample statistic. What does it tell us about the value...

The correlation coefficient r is a sample statistic. What does it tell us about the value of the population correlation coefficient ρ (Greek letter rho)? You do not know how to build the formal structure of hypothesis tests of ρ yet. However, there is a quick way to determine if the sample evidence based on ρ is strong enough to conclude that there is some population correlation between the variables. In other words, we can use the value of r to determine if ρ ≠ 0. We do this by comparing the value |r| to an entry in the correlation table. The value of α in the table gives us the probability of concluding that ρ ≠ 0 when, in fact, ρ = 0 and there is no population correlation. We have two choices for α: α = 0.05 or α = 0.01. (a) Look at the data below regarding the variables x = age of a Shetland pony and y = weight of that pony. Is the value of |r| large enough to conclude that weight and age of Shetland ponies are correlated? Use α = 0.05. (Use 3 decimal places.) x 3 6 12 21 24 y 60 95 140 190 172 r Incorrect: Your answer is incorrect. critical r Incorrect: Your answer is incorrect. Conclusion Reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. Reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. Fail to reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. Fail to reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. Correct: Your answer is correct. (b) Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of |r| large enough to conclude that lowest barometric pressure and wind speed of a cyclone are correlated? Use α = 0.01. (Use 3 decimal places.) x 1004 975 992 935 970 924 y 40 100 65 145 65 146 r critical r Incorrect: Your answer is incorrect. Conclusion Reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Fail to reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Fail to reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.

Solutions

Expert Solution

(a)

Following table shows the calcualtions:

X Y X^2 Y^2 XY
3 60 9 3600 180
6 95 36 9025 570
12 140 144 19600 1680
26 190 676 36100 4940
19 180 361 32400 3420
Total 66 665 1226 100725 10790

Sample size: n = 5

The coefficient of correlation is :

Critical value of r for n=5 is 0.88.

Since r > 0.88 so relationship between the variables is significant.

Correct option:

Reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated.

-------------------

(b)

Following table shows the calculations:

X Y X^2 Y^2 XY
1004 40 1008016 1600 40160
975 100 950625 10000 97500
992 65 984064 4225 64480
935 145 874225 21025 135575
970 65 940900 4225 63050
924 146 853776 21316 134904
Total 5800 561 5611606 62391 535669

Sample size: n = 6

The coefficient of correlation is :

Critical value of r for n=6 is 0.92

Since |r| > 0.92 so relationship between the variables is significant.

Correct option:

Reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.


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