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QNT 351 Week 4 Connect Problems
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QNT 351 Week 4 Connect Problems

This Tutorial was purchased 5 times & rated A+ by student like you.

 

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QNT 351 Week 4 Connect Problem

 

1)      The Production department of Celitronics International wants to explore the relationship between the number of employees who assemble a subassembly and the number produced. As an experiment, 2 employees were assigned to assemble the subassemblies. They produced 13 during a one-hour period, then 4 employees assembled them. They produced 22 during a one hour period. The complete set of paired observation follows

a)      The dependent variable is production; that is, it is assumed that different levels of production result from a different number of employees.

b)      A scatter diagram is provided below. Based on it, does there appear to be any relationship between the number of assemblers and production?

c)      Compute the correlation coefficient.

 

2)      The following sample observation were randomly selected.

X  :  4    5    3    6    10

Y  :  9.8   10.6  8  15.4  19.6

a)      The regression equation is Y^ =?

b)      When X is 5.5 this gives Y^=?

 

3)      Bi-io Appliance Super-store has outlets in several large metropolitian areas in New England. The general sales manager aired a commercial for a digital camera on selected local TV stations prior tp a sale starting on Saturday and editing Sunday. She obtained the information for Saturday-Sunday digital camera sales at the various outlets and paired it with number to times the advertisement was shown on the local TV stations. The Purpose is to find whether there is any relationship between the number of times the advertisement was aired and digital camera sales. The pairings are:

a)      What is the dependent variable?

b)      Determine the correlation coefficient

c)      Interpret these statistical measures.

 

4)      The owner of Maumee Ford-Mercury-Volvo wants to study the relationship between the age of a car and its selling price. Listed below is a random sample of 12 used cars sold at the dealership during the last year.

a)      If we want to estimate selling price on the basis of the age car, which variable is the dependent variable and which is the independent variable?

b)      Determine the correlation coefficient?  Determine the coefficient of determination?

c)      Interpret the correlation coefficient. Does it surprise you that the correlation coefficient is negative?

 

5)      Pennsylvania refining Company is studying the relationship between the pump price of gasoline and the number of gallons sold. For a sample of 20 stations last Tuesday the correlation was 78.  At the 0.1 significance level, is the correlation in the population greater than zero?

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