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Area Polu Resp

1 10 10

2 51 47

3 10 16

4 21 21

5 28 26

6 59 55

7 43 35

8 55 53

9 16 4

10 16 24

11 3 29

12 53 54

13 25 44

14 34 38

15 33 30Perform a linear regression and Correlation on this data (steps 1-12 and 16-17) using an alpha of .05.

If they are linearly related predict the Incidence rate of chronic respiratory disease for a geographic area with the concentration of an pollutant of 50.

Explain the 95% Confidence interval and the 95% Prediction interval.

17 required steps

1. Plot the variable and see if they seem to have a linear relationship

2: Describe what u see

3. Find the linear regression line

4. Interpret B0 and B1

5. Draw regression line on graph

6. Draw the y-bar line on graph

7. Select point and partition SST

8. coefficient of determination (r2) and explain

9. Hypothesis about slope: Ho and HA

10. ANOVA

11. Verify assumption that all standard deviations are equal by plotting residuals vs X variable

12. Verify assumption that all sub populations of y are normally distributed Q-Q plot

13. Predict y using the above model

14. Explain the 95% confidence interval

15. Explain the 95% prediction interval

16. Calculate R (correlation coefficient)

17. Hypothesis test about rho