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Your earlier comparison of three energy technologies showed only a borderline effect using the non-parametric Kruskal-Wallis statistic. This result left you hanging on a decision of which technology to adopt. Thus, you decided to assume that the efficiency variable was measured on an interval scale, allowing you to use a parametric test. Perform the analysis: Does the result change? If so, which of the three technologies is best? If not, what will you decide? Knowing that the earth ship technology is more costly than the others, do the statistical results show that it would be worth the expense
Data
Earth ship (1) Solar (2) Super insulation(3)
10 8 7
8 4 5
6 5 5
4 4 6
9 6 4
7 8 7
4 2 3
8 4 6
7 4 4
Following the analysis of the above data, two more cases were added in each category. Do these cases change the finding? If so, how?
Earth ship Solar Super insulation
5 5 4
4 5 5
Model 1: Let's consider the logistic regression model, which we will refer to as Model 1, given by log(pi / [1-pi]) = 0.25 + 0.32*X1 + 0.70*X2 + 0.50*X3
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