How does the Great Outdoors program compare to the Whole Person program in impro

Question

How does the Great Outdoors program compare to the Whole Person program in improving well being across the pre- and post-program? Is there a significant interaction? If so, how do you interpret it? ** PLEASE PROVIDE WHICH EXCEL DATA ANALYSIS TOOL PACK FUNCTION WAS USED**

wellness program type employee reported well-being (pre-program) employee reported well-being (post-program) 1 3.12 3.25 1 2.54 3.11 1 1.54 2.09 1 4.86 6.85 1 3.46 4.00 1 2.62 2.75 1 4.21 7.00 1 6.62 6.75 1 6.33 4.00 1 3.12 3.25 1 4.87 5.00 1 3.10 3.00 1 5.37 5.50 1 2.54 2.50 1 5.04 5.75 1 2.04 3.25 1 5.29 6.15 1 2.79 7.00 1 2.54 6.83 1 1.54 4.00 1 1.54 4.56 1 4.02 7.00 1 2.86 6.75 1 3.87 4.00 1 6.87 7.00 1 4.37 4.50 1 6.12 6.25 1 6.37 6.50 1 2.54 7.00 1 5.04 7.00 1 2.21 6.00 1 4.71 6.00 1 1.71 6.50 1 4.96 6.50 1 2.46 6.00 1 2.21 7.00 1 4.82 6.50 1 5.40 6.25 1 3.87 4.00 1 1.96 6.00 1 4.62 5.75 1 5.87 6.00 1 4.03 6.25 1 4.81 6.00 1 6.62 6.75 1 5.87 6.00 1 5.48 6.00 1 6.87 7.00 1 4.83 5.00 1 5.62 5.75 2 0.87 1.00 2 3.62 3.75 2 5.12 5.25 2 2.87 3.00 2 2.37 2.50 2 3.37 3.50 2 1.87 2.00 2 3.37 3.50 2 3.12 3.25 2 4.87 5.00 2 2.87 3.00 2 5.37 5.50 2 2.37 2.50 2 5.62 5.75 2 3.12 3.25 2 2.87 3.00 2 1.87 2.00 2 1.87 2.00 2 3.87 4.00 2 2.62 2.75 2 5.62 5.75 2 3.87 4.00 2 2.87 3.00 2 3.12 3.25 2 0.87 1.00 2 2.62 2.75 2 4.87 5.00 2 2.12 2.25 2 3.37 3.50 2 0.87 1.00 2 3.12 3.25 2 4.62 4.75 2 3.62 3.75 2 3.12 3.25 2 2.87 3.00 2 3.12 3.25 2 0.87 1.00 2 5.62 5.75 2 1.37 1.50 2 2.87 3.00 2 2.37 2.50 2 0.87 1.00 2 4.37 4.50 2 2.37 2.50 2 4.37 4.50 2 0.87 1.00 2 1.87 2.00 2 3.87 4.00 2 4.12 4.25 2 1.62 1.75 3 2.87 3.00 3 5.12 5.25 3 2.87 3.00 3 1.37 1.50 3 2.62 2.75 3 4.12 4.25 3 0.87 1.00 3 4.37 4.50 3 0.87 1.00 3 3.62 3.75 3 1.87 2.00 3 3.62 3.75 3 2.87 3.00 3 2.37 2.50 3 3.12 3.25 3 2.12 2.25 3 2.87 3.00 3 1.62 1.75 3 0.87 1.00 3 3.62 3.75 3 5.12 5.25 3 1.62 1.75 3 3.87 4.00 3 1.87 2.00 3 1.62 1.75 3 3.87 4.00 3 0.87 1.00 3 0.87 1.00 3 1.37 1.50 3 4.87 5.00 3 1.87 2.00 3 0.87 1.00 3 2.62 2.75 3 4.62 4.75 3 2.12 2.25 3 6.37 6.50 3 3.37 3.50 3 3.12 3.25 3 3.12 3.25 3 1.37 1.50 3 3.87 4.00 3 3.87 4.00 3 3.87 4.00 3 3.37 3.50 3 2.37 2.50 3 2.62 2.75 3 3.87 4.00 3 6.87 7.00 3 3.12 3.25 3 4.37 4.50 4 2.37 2.50 4 2.12 2.25 4 1.87 2.00 4 1.87 2.00 4 0.87 1.00 4 2.62 2.75 4 3.84 4.25 4 2.34 2.75 4 2.59 3.00 4 2.59 3.00 4 0.59 1.00 4 4.34 4.75 4 3.09 3.50 4 6.59 7.00 4 2.34 2.75 4 3.59 4.00 4 0.59 1.00 4 0.59 1.00 4 3.59 4.00 4 1.34 1.75 4 2.59 3.00 4 3.59 4.00 4 3.34 3.75 4 1.59 2.00 4 0.59 1.00 4 4.84 5.25 4 4.34 4.75 4 2.59 3.00 4 1.59 2.00 4 2.34 2.75 4 2.34 2.75 4 1.09 1.50 4 3.59 4.00 4 1.59 2.00 4 3.59 4.00 4 2.34 2.75 4 1.59 2.00 4 4.09 4.50 4 0.84 1.25 4 4.84 5.25 4 6.59 7.00 4 1.84 2.25 4 3.09 3.50 4 2.84 3.25 4 2.34 2.75 4 3.34 3.75 4 2.59 3.00 4 4.09 4.50 4 0.59 1.00 4 1.46 1.00

Explanation / Answer

if employee reported well-being (pre-program) (X)is put in an array B2:B201

and if employee reported well-being (post-program) (Y)is put in an array C2:C201

then to find any linear relationship exists and to measure the degree of the linear relation ship we use the excel function named"PEARSON(B2:B201,C2:C201)"

Hence the output is 0.836199 and hence there is a high degree of positive inear relationship (Highly Positive Correlation)exists between X and Y

pearsons correlation coefficient r = 0.836199

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