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1. One of the following is not a logical dependent variable which could be associated with the independent variable of temperature. Select the variable which would not be dependent upon the temperature.

  • amount of ice cream sold
  • number of picnic meals outside
  • time between sunrise and sunset
  • number of air conditioner units repaired

2.In generating hydroelectric power (link to the following if you are not familiar with this term http://water.usgs.gov/edu/hyhowworks.html

  • water flow would be an independent variable
  • cost of water would be a dependent variable
  • water usage by homeowners would be a dependent variable
  • amount of electrical power generated would be an independent variable

3.In developing estimates which of the following would be important?

  • The existence of a significant relationship between the variables being used
  • The company complying with drug free workplace laws
  • The use of cost contracts
  • Using a large number of variables

4.If someone told you there was a statistically signification correlation between the size of someone's feet and the number of sandals they owned, which of the following would be a valid concern you might voice regarding the study.

  • If the people owned cats
  • The amount of TV they watch
  • The sample size
  • The occupation of the people studied

5.Given the following statement: "In a sample of 1,000 people, most of them liked lemonade" you could conclude

  • The population size was 1,000
  • Most of the subjects were women
  • Some preferred coffee
  • A significant relationship exists regarding preference for lemonade over all other beverages

6.Which of the following is true regarding dependent and independent variables?

  • The significance between the two could change due to other factors which must be considered
  • Re-evaluation each quarter is needed to assure the estimates are still solid
  • Only when the value of relationship is .9 or better should the variables be used in estimating
  • Once a relationship is established between two variables it can be used without concern as a solid basis for estimating

7. You are in the industrial janitorial field providing service to companies on the north end of your city. You are trying to determine which of the following to track to determine if it might be a predictor of the number of service calls you could expect.

  • number of cars in employee parking at the companies you service
  • number of dog owners
  • hours of average overtime worked by employees in the state
  • usage of copy machines

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