Overview
Infographic Assignment
- How do you interpret the effect of significant coefficients?
- How are the distribution of the observed residuals of the constructed model tested for normality?
- How can the regression model be used for prediction?
Visually communicate your responses to the questions above by developing an infographic.
Tips on Designing an Infographic
Build an infographic and attach a written summary for items which cannot fit on the infographic.
An information graphic (infographic) is a visual representation of a data set or instructive material. Infographics take a large amount of information in text (or numerical form) and then condense it into a combination of images and text highlights. This modern data transformation technique allows viewers to quickly grasp essential insights about a specific subject. Review this ten-minute video (link below) to see what elements go into creating an effective infographic. It will provide some background on how to complete your assignment for this week.
Get as creative as possible, and design a well-organized, easy to understand infographic. You can visit Piktochart, Canva, Venngage, and Visme online for infographic examples, tips on how to create them, and templates.
Share your completed infographic in GAP. Be sure to share the file in a format your instructor can view such as PDF. Search the help section of the tool you chose to use to find out the options for downloading, sharing, and publishing your infographic.
View the Visual Organizer Rubric.
Multiple Regression Activity - - CLO 1, CLO 2, CLO 3, CLO 4, CLO 5
Although natural gas is currently inexpensive and nuclear power currently (and perhaps deservedly) does not have a good reputation, it is possible that more nuclear power plants will be constructed in the future. Table 4 presents data concerning the construction costs of light water reactor (LWR) nuclear power plants. The dependent variable, C, construction cost, is expressed in millions of dollars, adjusted to a 1976 base. Preliminary analysis of the data and economic theory indicate that variation in cost increases as cost increases. This suggests transforming cost by taking its natural logarithm.
S Power plant capacity in MWe
N Cumulative number of power plants built by the contractor
- Build a multiple regression model to predict ln(C) by taking S and N or their natural logarithms as the independent variables. Make sure to check for multicollinearity.
- Use residual analysis and R2 to check your model.
- State which variables are important in predicting the cost of constructing an LWR plant, and
- State a prediction equation that can be used to predict ln(C).
Table 4
Data Concerning Construction of Light Water Reactors
Plant | C | S | N |
1 | 460.05 | 687 | 14 |
2 | 452.99 | 1,065 | 1 |
3 | 443.22 | 1,065 | 1 |
4 | 652.32 | 1,065 | 12 |
5 | 642.23 | 1,065 | 12 |
6 | 345.39 | 514 | 3 |
7 | 272.37 | 822 | 5 |
8 | 317.21 | 457 | 1 |
9 | 457.12 | 822 | 5 |
10 | 690.19 | 792 | 2 |
11 | 350.63 | 560 | 3 |
12 | 402.59 | 790 | 6 |
13 | 412.18 | 530 | 2 |
14 | 495.58 | 1,050 | 7 |
15 | 394.36 | 850 | 16 |
16 | 423.32 | 778 | 3 |
17 | 712.27 | 845 | 17 |
18 | 289.66 | 530 | 2 |
19 | 881.24 | 1,090 | 1 |
20 | 490.88 | 1,050 | 8 |
21 | 567.79 | 913 | 15 |
22 | 665.99 | 828 | 20 |
23 | 621.45 | 786 | 18 |
24 | 608.8 | 821 | 3 |
25 | 473.64 | 538 | 19 |
26 | 697.14 | 1,130 | 21 |
27 | 207.51 | 745 | 8 |
28 | 288.48 | 821 | 7 |
29 | 284.88 | 886 | 11 |
30 | 280.36 | 886 | 11 |
31 | 217.38 | 745 | 8 |
32 | 270.71 | 886 | 11 |