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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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