Question

In: Statistics and Probability

Fuming because you are stuck in traffic? Roadway congestion is a costly item, both in time...

Fuming because you are stuck in traffic? Roadway congestion is a costly item, both in time wasted and fuel wasted. Let xrepresent the average annual hours per person spent in traffic delays and let y represent the average annual gallons of fuel wasted per person in traffic delays. A random sample of eight cities showed the following data.

x (hr) 27 5 22 39 22 22 18 5
y (gal) 47 3 34 57 35 38 25 9

(a) Draw a scatter diagram for the data.


Verify that Σx = 160, Σx2 = 4076, Σy = 248, Σy2 = 9998, and Σxy = 6356.

Compute r.

The data in part (a) represent average annual hours lost per person and average annual gallons of fuel wasted per person in traffic delays. Suppose that instead of using average data for different cities, you selected one person at random from each city and measured the annual number of hours lost x for that person and the annual gallons of fuel wasted y for the same person.

x (hr) 24 4 18 43 16 27 2 39
y (gal) 63 8 10 51 25 31 4 74

(b) Compute x and y for both sets of data pairs and compare the averages.

x y
Data 1
Data 2


Compute the sample standard deviations sx and sy for both sets of data pairs and compare the standard deviations.

sx sy
Data 1
Data 2

In which set are the standard deviations for x and y larger?

The standard deviations for x and y are larger for the first set of data.The standard deviations for x and y are larger for the second set of data.     The standard deviations for x and y are the same for both sets of data.


Look at the defining formula for r. Why do smaller standard deviations sx and sy tend to increase the value of r?

Multiplying by smaller numbers results in a larger value.Dividing by smaller numbers results in a smaller value.     Dividing by smaller numbers results in a larger value.Multiplying by smaller numbers results in a smaller value.


(c) Make a scatter diagram for the second set of data pairs.


Verify that Σx = 173, Σx2 = 5275, Σy = 266, Σy2 = 13,812, and Σxy = 8048.

Compute r.


(d) Compare r from part (a) with r from part (b). Do the data for averages have a higher correlation coefficient than the data for individual measurements?

Yes, the data for averages have a higher correlation coefficient than the data for individual measurements.No, the data for averages do not have a higher correlation coefficient than the data for individual measurements.     


List some reasons why you think hours lost per individual and fuel wasted per individual might vary more than the same quantities averaged over all the people in a city.

Solutions

Expert Solution

Data 1:

Following is the scatter plot:

Following table shows the calculations:

X Y X^2 Y^2 XY
27 47 729 2209 1269
5 3 25 9 15
22 34 484 1156 748
39 57 1521 3249 2223
22 35 484 1225 770
22 38 484 1444 836
18 25 324 625 450
5 9 25 81 45
Total 160 248 4076 9998 6356

Sample size: n=8

The coefficient of correlation is :

Following table shows the calculations:

X Y (x-mean)^2 (y-mean)^2
27 47 49 256
5 3 225 784
22 34 4 9
39 57 361 676
22 35 4 16
22 38 4 49
18 25 4 36
5 9 225 484
Total 160 248 876 2310

Mean:


The standard deviation:

Data 2:

Following is the scatter plot:

Following table shows the calculations:

X Y X^2 Y^2 XY
24 63 576 3969 1512
4 8 16 64 32
18 10 324 100 180
43 51 1849 2601 2193
16 25 256 625 400
27 31 729 961 837
2 4 4 16 8
39 74 1521 5476 2886
Total 173 266 5275 13812 8048

The coefficient of correlation is :

Following table shows the calculations:

X Y (x-mean)^2 (y-mean)^2
24 63 5.640625 885.0625
4 8 310.640625 637.5625
18 10 13.140625 540.5625
43 51 456.890625 315.0625
16 25 31.640625 68.0625
27 31 28.890625 5.0625
2 4 385.140625 855.5625
39 74 301.890625 1660.5625
Total 173 266 1533.875 4967.5

Mean:


The standard deviation:

The standard deviations for x and y are larger for the second set of data.

Dividing by smaller numbers results in a larger value.

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

(d)

Yes, the data for averages have a higher correlation coefficient than the data for individual measurements.   


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