22.22. Scatter plots are used to discover relationships between variables. Using the corresponding measrements of variable 1 and variable 2 in the following DATA:

variable1 variable2

5.92418 16.01040

-2.15342 6.90096

-5.68710 3.20965

-2.35173 8.11837

9.13267 20.86393

8.84593 17.88436

0.60205 11.33976

4.30225 13.72104

-9.69073 0.22652

-6.81619 2.88607

7.00841 14.48358

4.48845 15.56499

3.06470 11.36857

-9.46731 1.14076

1.54090 12.95229

-4.20144 5.79307

6.11798 15.91570

9.94412 16.96745

1.32124 10.86254

-7.69106 1.10462

5.89874 15.93450

-0.72913 10.47150

8.39173 17.99690

-9.46846 0.72233

Plot variable 1 vs. variable 2 and describe the correlation between variable 1 and variable 2.

a.The strength of the relationship is moderate, linear, and negative.

b.There is no relationship, or the strength of the relationship is very week.

c.The strength of the relationship is strong, but it is not linear.

d.The relationship is linear, positive, and strong.

e.The strength of the relationship is moderate, linear, and positive.

f.None of the answers accurately characterize the data.

g.The relationship is linear, negative and strong.

26.An important application of regression in manufacturing is the estimation of cost of

production. Based on DATA from Ajax Widgets relating cost (Y) to volume (X), what is the cost

of production 600 widgets

Production Volume (units) Total Cost ($)

400 3430

450 4080

550 4878

600 4884

700 5913

750 6402

425 4273

475 4362

575 5089

625 5446

725 6017

775 6591

Choose your answer from the following:

a) 8.21

b)7.54

c) None of the answers are correct

d) 8.75

e) 7.38