Regression

Results

· AGE – [Write 2-3 Sentences interpreting the statistic, explaining if it is significant and any intuitive or counter intuitive findings from the estimate]

· Male – [Write 2-3 Sentences interpreting the statistic, explaining if it is significant and any intuitive or counter intuitive findings from the estimate]

· BMI – [Write 2-3 Sentences interpreting the statistic, explaining if it is significant and any intuitive or counter intuitive findings from the estimate]

· Children – [Write 2-3 Sentences interpreting the statistic, explaining if it is significant and any intuitive or counter intuitive findings from the estimate]

· Smoke – [Write 2-3 Sentences interpreting the statistic, explaining if it is significant and any intuitive or counter intuitive findings from the estimate]

· NE – [Write 2-3 Sentences interpreting the statistic, explaining if it is significant and any intuitive or counter intuitive findings from the estimate]

· SE – [Write 2-3 Sentences interpreting the statistic, explaining if it is significant and any intuitive or counter intuitive findings from the estimate]

· SW – [Write 2-3 Sentences interpreting the statistic, explaining if it is significant and any intuitive or counter intuitive findings from the estimate]

Shortcoming of the Analysis

[Discuss if the regression fulfils the three assumptions of linear regression and if it fails explain why. Include Graphs and supporting evidence in the appendix.]

· Assumption 1: The errors (residuals) are normally distributed.

· Assumption 2: The errors have constant variance (i.e., they are homoscedastic).

· Assumption 3: The errors are independent (i.e., Multicollinearity).

Conclusion

[Summarize your findings and discuss future areas of research]

Work Cited

[Cite your Data Set]

Appendix 1: Regression Output

Assumption 1:

Assumption 2:

Appendix 2: Violation of Assumptions Evidence (CONTD)

Assumption 2:

Appendix 2: Violation of Assumptions Evidence (CONTD)

Assumption 2:

Assumption 3:

Durbin Watson Statistic: 2.088423

Appendix 4: Variable Description (Optional)

Age: Represents the age of each interviewed individual in the survey.

Variable2: [ Describe the variable and what it represents numerically]

Variable…: [ Describe the variable and what it represents numerically]

bmi Residual Plot

bmi

Residuals

NE Residual Plot

NE

Residuals

SE Residual Plot

SE

Residuals

SW Residual Plot

SW

Residuals

age Residual Plot

age

Residuals

Normal Probability Plot

Sample Percentile

charges

Male Residual Plot

Male

Residuals

1