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1. Based on Emily's case description at the beginning of Chapter 13, run a bivariate regression analysis to answer Leo's research question - Is the

1. Based on Emily's case description at the beginning of Chapter 13, run a bivariate regression analysis to answer Leo's research question - Is the level of cultural competence predicted by the number of diversity trainings attended? Use the variables: 'culturalcompetence' and 'Q25'. Include a scatterplot with the regression line and equation. The RQ is provided. Note your hypotheses and interpret your findings (remember, there are multiple output values to interpret in a regression model).

2. Using Emily's survey data, run a multiple regression analysis to determine if there are other appropriate independent variables to include in the model. Show your output. Note your research question, hypotheses, and interpret your findings. The DV is 'culturalcompetence'. Other variables must be continuous level of measurement. This limits the variables you can include in the analysis. Be selective!

Remember: if Excel returns values with the letter E, you need to change the format of the cell from general to number.

Data file: Emily's surveyDownload Emily's survey

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ID Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9_1 Q9_2 Q9_3 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 Q19 Q20 Q21 Q22 Q23 Q24 Q25 Q26 Q27 Female culturalcompetence conflict
1 3 3 2 3 3 2 3 2 4 1 3 5 5 4 4 5 5 4 4 36 6 2 1 1 17 5 0 1 1 1 2.625 4.5
2 4 2 3 5 5 3 5 3 5 2 5 2 2 2 3 2 3 3 5 38 11 2 1 1 12 2 4 1 2 1 3.75 2.75
3 3 2 3 2 4 3 4 5 1 1 3 5 5 2 2 2 1 1 3 42 11 2 1 1 14 6 1 1 1 1 3.25 2.63
4 4 4 2 4 5 3 3 3 4 1 4 1 2 1 3 4 3 3 5 50 5 1 1 1 21 3 2 2 1 0 3.5 2.75
5 4 4 1 4 4 4 1 2 4 3 4 4 4 4 5 3 5 4 4 55 4 1 1 1 16 5 2 2 1 0 3 4.13
6 3 4 2 5 4 4 4 4 2 1 5 2 2 2 2 3 2 1 4 41 14 1 1 1 17 5 4 2 1 0 3.75 2.25
7 3 2 3 4 4 3 3 3 4 1 3 3 3 4 5 4 3 4 3 52 25 1 1 1 16 5 3 2 1 0 3.125 3.63
8 3 2 2 4 4 3 3 2 4 1 4 1 5 5 5 4 5 5 5 52 25 1 1 1 13 4 3 2 1 0 2.875 4.38
9 2 3 2 4 4 4 4 4 4 2 4 2 2 4 4 2 3 4 5 35 2 1 1 3 21 2 3 2 2 0 3.375 3.25
10 4 3 2 4 5 4 4 4 4 1 4 2 2 3 3 4 5 3 2 34 9 1 1 1 17 2 3 2 2 0 3.75 3
11 4 3 2 3 4 3 3 2 4 1 4 2 4 5 4 3 3 4 5 49 19 1 1 1 17 2 2 2 2 0 3 3.75
12 3 4 3 4 5 3 4 4 3 3 3 2 2 2 1 3 2 1 3 43 2 2 1 1 22 7 2 1 2 1 3.75 2
13 1 3 3 3 3 3 3 2 3 3 4 1 4 5 5 5 5 5 5 31 12 1 1 1 16 4 2 2 1 0 2.625 4.38
14 4 4 2 4 4 3 3 3 3 2 3 2 2 4 4 2 2 4 4 52 28 1 1 1 16 4 3 2 1 0 3.375 3
15 3 2 4 5 5 4 5 4 4 2 5 1 2 3 3 4 2 1 1 46 7 1 1 1 16 5 2 2 1 0 4 2.13
16 4 2 3 5 4 3 3 3 3 1 4 2 2 2 3 4 3 3 3 27 1 2 1 1 16 5 3 1 2 1 3.375 2.75
17 5 4 1 5 5 4 4 3 5 2 4 1 1 3 3 1 4 3 4 38 6 1 1 1 17 5 2 2 2 0 3.875 2.5
18 4 1 2 5 5 3 5 5 4 1 5 1 1 2 2 3 4 4 5 42 15 1 1 3 16 5 4 2 2 0 3.75 2.75
19 5 3 3 5 5 4 5 5 4 2 5 1 1 2 1 3 1 1 1 25 1 1 1 1 17 5 3 2 2 0 4.375 1.38
20 3 3 3 3 3 3 3 3 3 2 3 2 4 5 4 5 2 5 5 42 11 1 1 1 17 5 2 2 2 0 3 4
21 4 4 2 2 4 3 3 3 2 2 3 3 3 1 5 3 4 4 4 38 4 1 1 3 16 4 4 2 1 0 3.125 3.38
22 4 4 4 2 2 3 2 2 3 4 4 4 4 4 4 5 5 5 2 51 3 1 1 1 16 2 4 2 2 0 2.875 4.13
23 4 2 2 2 4 3 3 4 3 4 3 4 4 4 4 4 4 5 3 41 3 1 1 1 17 4 2 2 1 0 3 4
24 1 4 3 4 4 2 3 4 1 2 4 3 3 3 5 4 3 4 5 24 0 1 1 1 14 4 1 2 2 0 3.125 3.75
25 5 4 2 5 5 5 5 4 5 1 5 2 1 1 1 4 2 2 1 36 12 1 1 1 21 5 4 2 1 0 4.375 1.75
26 4 1 2 3 3 4 3 2 1 2 4 4 5 4 5 4 5 5 5 51 28 1 1 1 16 4 1 2 2 0 2.75 4.63
27 4 1 2 4 2 3 4 4 1 2 3 3 5 5 2 4 4 5 4 36 1 1 1 1 14 4 1 2 2 0 3 4
28 4 4 2 5 4 3 5 4 1 1 4 2 2 2 3 1 3 2 3 38 4 2 1 1 14 5 4 1 1 1 3.875 2.25
29 4 2 2 4 4 3 4 4 4 2 4 4 4 2 4 4 4 4 5 26 5 2 1 2 16 5 2 1 1 1 3.375 3.88
30 4 2 3 2 1 2 3 4 2 1 3 4 3 4 4 4 5 4 4 29 9 1 1 1 16 5 2 2 1 0 2.625 4
31 3 4 2 3 4 3 3 2 4 1 3 5 4 5 4 5 4 4 5 51 5 2 1 1 16 6 2 1 1 1 3 4.5
32 5 2 3 5 4 3 5 1 3 2 5 1 1 2 2 4 1 1 2 34 4 2 1 1 16 5 2 1 1 1 3.5 1.75
33 4 2 2 3 4 4 3 3 3 2 4 3 3 4 5 5 2 3 5 54 27 2 1 1 12 6 2 1 1 1 3.125 3.75
34 2 3 3 4 4 3 3 3 3 3 3 3 3 4 5 2 2 4 5 40 17 2 1 1 16 4 1 1 2 1 3.125 3.5
35 4 4 2 5 4 4 5 4 5 1 5 1 2 3 2 1 2 3 4 46 19 2 1 1 17 5 2 1 2 1 4 2.25
36 5 3 3 1 1 3 3 4 1 2 4 2 4 5 3 5 5 3 4 30 10 1 1 1 16 5 2 2 2 0 2.875 3.88
37 4 2 2 4 2 3 4 4 4 2 4 3 3 2 5 2 3 4 1 25 1 2 1 1 17 3 2 1 1 1 3.125 2.88
38 3 3 2 3 4 3 3 3 4 1 4 4 5 3 2 4 3 3 5 57 25 1 1 1 16 4 1 2 2 0 3 3.63
39 4 4 2 3 4 3 3 4 4 1 4 2 2 4 5 5 1 1 5 54 2 1 1 1 17 2 2 2 1 0 3.375 3.13
40 2 2 2 3 4 3 1 3 4 1 4 4 4 5 5 3 3 3 4 53 10 2 1 1 16 4 0 1 1 1 2.5 3.88
41 2 4 1 3 5 2 3 2 4 2 3 4 4 3 3 2 5 5 3 56 13 1 1 1 17 5 1 2 2 0 2.75 3.63
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43 3 4 4 4 4 3 4 3 1 1 4 1 1 5 2 4 5 5 3 31 1 2 1 1 16 2 3 1 1 1 3.625 3.25
44 4 2 4 4 4 3 3 3 3 2 2 3 4 5 5 4 5 4 5 35 12 2 1 3 17 5 1 1 2 1 3.375 4.38
45 4 2 2 4 4 3 4 4 3 2 1 2 2 4 4 2 2 3 5 29 6 1 1 1 17 5 4 2 1 0 3.375 3
46 4 2 1 3 4 2 3 2 1 3 4 4 3 3 3 5 5 3 4 59 28 2 1 1 12 4 0 1 1 1 2.625 3.75
47 4 2 3 4 3 2 4 2 4 2 4 2 5 5 5 4 5 5 4 57 11 2 1 1 12 5 2 1 1 1 3 4.38
48 4 2 2 3 2 3 4 2 2 3 4 1 5 5 5 3 5 5 3 31 11 2 1 1 16 7 1 1 2 1 2.75 4
49 4 2 2 4 4 4 5 4 4 2 5 1 1 5 1 4 5 5 3 52 26 2 1 1 16 5 4 1 1 1 3.625 3.13
50 4 4 1 5 5 5 5 2 4 1 5 3 3 2 1 2 3 2 5 54 3 1 1 2 17 5 2 2 1 0 3.875 2.63
51 4 4 3 3 4 3 3 3 4 4 4 3 4 3 4 3 5 4 4 55 15 2 1 1 17 5 1 1 1 1 3.375 3.75
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53 4 2 2 4 4 3 3 3 4 2 3 3 3 2 5 3 1 2 4 42 4 1 1 1 16 4 2 2 1 0 3.125 2.88
54 4 4 2 4 4 3 4 4 4 2 4 2 2 2 1 3 4 5 4 40 1 2 1 1 17 5 3 1 2 1 3.625 2.88
55 5 2 3 5 5 5 4 4 5 1 5 1 2 2 2 1 2 2 1 47 3 1 1 1 17 5 4 2 2 0 4.125 1.63
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57 2 4 2 3 4 3 3 4 4 2 4 4 5 5 5 4 5 5 4 50 9 2 1 1 16 5 1 1 2 1 3.125 4.63
58 2 4 2 5 5 2 5 2 5 2 5 2 2 1 1 2 1 1 5 39 6 2 2 1 16 3 2 1 1 1 3.375 1.88
59 1 1 1 5 4 4 5 1 5 1 5 5 5 4 5 3 5 3 5 43 8 2 1 2 17 5 1 1 2 1 2.75 4.38
60 2 2 2 4 4 3 4 4 4 1 4 3 3 2 4 4 4 3 4 50 1 2 1 1 17 5 3 1 1 1 3.125 3.38
61 5 3 1 5 5 5 5 2 5 1 5 2 2 3 3 2 2 2 4 35 2 2 1 1 21 3 2 1 1 1 3.875 2.5
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63 3 2 3 3 2 2 3 3 3 1 3 4 5 4 5 5 2 2 3 41 13 2 1 1 16 4 0 1 1 1 2.625 3.75
64 4 2 3 2 4 3 3 3 2 2 3 5 5 3 5 5 5 5 4 47 8 2 1 1 16 4 1 1 1 1 3 4.63
65 5 2 1 2 2 3 2 1 2 3 1 3 5 5 3 5 5 5 5 38 12 1 1 3 16 7 0 2 1 0 2.25 4.5
66 4 1 2 4 4 4 5 4 4 1 5 3 2 4 1 3 4 3 4 60 13 1 1 1 18 3 3 2 1 0 3.5 3
67 4 1 2 3 3 2 3 4 2 2 3 2 4 4 4 4 3 3 3 45 1 2 1 1 12 5 1 1 1 1 2.75 3.38
68 4 4 2 4 4 2 3 3 4 1 4 2 3 5 5 3 3 3 4 55 17 2 1 1 14 3 1 1 2 1 3.25 3.5
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71 4 3 3 3 2 3 3 3 3 1 3 4 3 5 3 4 5 5 5 38 17 1 1 1 16 5 3 2 2 0 3 4.25
72 4 3 3 4 4 3 3 3 3 2 3 2 3 3 2 3 4 5 4 32 9 1 1 1 17 5 2 2 2 0 3.375 3.25
73 4 4 2 2 4 3 3 4 4 1 2 2 3 3 2 2 1 3 5 55 35 1 1 1 17 3 2 2 2 0 3.25 2.63
74 3 3 2 4 5 3 3 3 4 2 4 4 4 4 5 3 4 5 1 37 7 2 1 1 16 5 2 1 2 1 3.25 3.75
75 4 4 2 5 5 3 4 2 3 1 5 2 3 4 1 3 2 4 5 43 13 2 1 2 17 5 2 1 2 1 3.625 3
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77 2 3 3 4 4 3 4 4 4 2 4 4 4 4 4 5 4 2 4 47 25 1 1 1 16 5 3 2 2 0 3.375 3.88
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105 2 4 2 1 2 3 1 2 2 1 2 5 5 5 5 3 5 2 4 50 18 1 1 1 16 7 0 2 1 0 2.125 4.25
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167 4 1 1 1 1 1 3 1 2 2 1 5 1 4