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Age Requested Amount Male or Female Requested 55 80 M 24 50 M 22 90 M 32 75 M 25 97 F 47 55 M

Age Requested Amount Male or Female Requested
55 80 M
24 50 M
22 90 M
32 75 M
25 97 F
47 55 M
39 55 M
26 350 M
30 75 F
28 75 F
48 50 M
53 50 F
33 55 F
27 80 M
54 50 M
45 75 M
38 70 F
55 50 F
49 55 M
26 70 F
61 55 F
63 75 F
59 50 M
46 75 M
22 75 M
21 75 M
36 70 M
31 70 M
47 55 M
50 70 F
21 75 F
26 65 M
25 85 F
45 55 M
51 55 F
50 55 F
24 65 F
37 55 M
30 80 M
54 40 M
57 55 M
60 50 M
61 55 M
49 50 M
39 60 M
55 50 M
47 50 F
51 55 M
38 75 F
44 50 M
58 60 F
60 50 F
51 60 M
43 55 M

  • scatter diagram with trendline from the data in that tab. Include the equation of the line on the graph (under "more options") along with the r squared value (coefficient of determination). Include the diagram in your post (you can attach your Excel spreadsheet).
  • What is a trendline, and how does it help us interpret the data?
  • Discuss the slope of that trendline. Is it positive, negative, undefined, or 0? What does it mean?
  • Use the trendline equation to figure out how much money a 39-year-old employee would want. Are you interpolating or extrapolating in this instance? Why?
  • Use the trendline equation to figure out how much money an 85-year-old employee would want. Are you interpolating or extrapolating in this instance? Why?
  • What is more reliable - interpolation or extrapolation - and why?
  • What is the r value for our data set, and what does it tell you about the strength of the relationship?
  • Given interpolation, extrapolation, and r values, how much trust do you put into the answers for the 39 and 85 year old? Explain.

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