# Project #86200 - statistics

```'Xray','BedDays','Length','Hours'
2463,   472.92,   4.45,   566.52
2048,   1339.75,  6.92,   696.82
3940,   620.25,   4.28,   1033.15
6505,   568.33,   3.9,    1603.62
5723,   1497.6,   5.5,    1611.37
11520,  1365.83,  4.6,    1613.27
5779,   1687,     5.62,   1854.17
5969,   1639.92,  5.15,   2160.55
8461,   2872.33,  6.18,   2305.58
20106,  3655.08,  6.15,   3503.93
13313,  2912,     5.88,   3571.89
10771,  3921,     4.88,   3741.4
15543,  3865.67,  5.5,    4026.52
36194,  7684.     1,7,   10343.81
34703,  12446.33, 10.78, 11732.17
39204,  14098.4,  7.05,  15414.94
86533,  15524,    6.35,  18854.4```

1. Create 3 simple regression models that predict the number of hours spent in the hospital depending on either one of the 3 variables left in the data.

2. Compare the P-values of the above models. Select the model (variable) with the lowest P-value (less than 5%).

3. Create 2 multiple regression models consisting on the variable you have identified in the previous step and one of the remaining two.

4. Compare the P-values of the above model and select which one is preferable depending on the P-values of their coefficients.

5. Create a model that includes all variables. Which one of the models you have created is the one you would use for prediction.

 Subject Mathematics Due By (Pacific Time) 10/15/2015 12:00 am
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