Thursday, February 28, 2013

CORRELATION AND REGRESSION


CORRELATION AND REGRESSION
1.       June and Jun are partners in the Chemistry Lab.  Their assignment is to determine how much copper (CuSO4) will dissolve in water at 10, 20, 30, 40, 50, 60, and 70 C.  These lab results are shown below where y is the weight in grams of copper sulfate which will dissolve in 100g of water at X C.  Sketch a scatter diagram. Find the equation of the least squares line and compute Se.
X             10           20           30           40           50           60           70
Y              17           21           25           28           33           40           49

2.       The number of workers on an assembly line varies due to the level of absenteeism on any given day.  In a random sample of production output from several days of work the following data were obtained where x = number  of workers absent from assembly line and y = number of defects coming off the line.
X             3              5              0              2              1              2              7
Y              16           20           9              12           10           13           25
A) Draw a scatter diagram for the data.
B) Find  and b.  What is the equation of the least squares line?
C) Graph the least squares line on your scatter diagram.
D) Find the standard error of estimate Se.
E) Find a 95% confidence interval for the number of defects when four workers are absent.

3.       In placing a weekly order for hotdogs the concessionaire at a large baseball stadium needs to estimate the size of the crowd that will attend the game.  Advanced ticket sales often give a good indication of expected attendance at games.  Data from six previous weeks of games are shown below, where x = advanced ticket sales (in thousands) and y = number of hotdogs purchased (in thousands) at the game.
X             45           64           37           58           41           29
Y              32           46           25           44           32           18
A) Draw a scatter diagram for the data.
B) Find  and b.  What is the equation of the least squares line?
C) Graph the least squares line on your scatter diagram.
D) Find the standard error of estimate Se.
E) Find a 95% confidence interval for the number of hotdogs to be prepared when advanced ticket sales are 55 thousand.







4. The Central Office of a large manufacturing company manager ten similar plants in different locations.  The following data were obtained where x = percent of operating capacity being used at the plant and y = profits in hundreds of thousands of dollars at the same plant.
X             50           61           77           80           82           85           88           81           95           99
Y              24           26           35           31           35           34           39           40           38           42
A) Draw a scatter diagram for the data.
B) Find  and b.  What is the equation of the least squares line?
C) Graph the least squares line on your scatter diagram.
D) Find the standard error of estimate Se.
E) Find a 95% confidence interval for the range of profits of a plant working at 75 percent capacity.
5.  As director of personnel for a prosperous company you have just hired a new public relations person.  The final salary arrangements are negotiated depending on the number of years of experience the new public relations person brings to the company.  After checking with several other companies in your area you obtain the following data where x = number of years of experience for a person in public relations and y = annual salary in thousands of dollars.
X             1              2              15           11           9              6
Y              25           29           53           49           37           34
A) Draw a scatter diagram for the data.
B) Find  and b.  What is the equation of the least squares line?
C) Graph the least squares line on your scatter diagram.
D) Find the standard error of estimate Se.
E) Estimate a salary range for the candidate so that approximately 95% of the public relations officers with 8 years of experience will be in this range.


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