Question: You are interested in predicting health status. Here is the multiple regression analysis output. Please answer the following questions.

Note: Variable,

• Health: overall health—the higher the score, the healthier the person is.

• Sweets: preference for sweets, with a higher number indicating higher preference.

• BMI: Body mass index. a measure of obesity with higher numbers of indicating greater obesity

1. What are dependent variable and independent variables used in the model? (2 pts)
2. Is the regression model statistically significant? Provide your rationale. (2 pts)
3. What are R-square and adjusted R-square? Interpret them. (4 pts)
4. Among all independent variables used in the model. which variables are significant at 95% significance level? (4 pts)
5. Write the regression equation. (3 pts)
6. What are the coefficients of "Sweets" and "BMI"? What do they mean? (6 pts)
7. Among the two independent variables used in the model. which variable is the most influential variable? Provide your rationale. (3 pts)

Price: $2.99

Solution: The downloadable solution consists of 2 pages
Deliverable: Word Document