Case Study: Predicting Health Outcomes Using Multiple Linear Regression

Background

A health research organization wants to understand the factors that contribute to a person's overall health score. They have collected data on various health metrics and lifestyle factors from a sample of individuals. The goal is to build a multiple linear regression model to predict the overall health score based on these factors.

1.Fit a Multiple Linear Regression Model

2.Evaluate the Model

3. Interpret the Model

4.Provide some actionable insights

5.Introduction

6. Body

7. implication

8. Conclusion

9. references

People	Age	Exercise	Sleep Hours	Overal Health Score
1	30	3	8	80
2	34	4	7	87
3	35	2	8	85
4	36	3	7	86
5	40	4	8	77
6	26	5	6	79
7	32	4	5	80
8	44	3	6	90
9	27	2	7	78
10	34	3	8	90
11	30	4	8	88
12	35	5	7	81
13	33	4	6	99
14	29	3	6	72
15	40	1	7	78