In: Statistics and Probability
1.-The following data were used in a regression study.
| Observation | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 |
|---|---|---|---|---|---|---|---|---|---|
|
xi |
2 | 3 | 4 | 5 | 7 | 7 | 7 | 8 | 9 |
|
yi |
4 | 5 | 4 | 7 | 4 | 6 | 9 | 6 | 11 |
(a)Develop an estimated regression equation for these data. (Round your numerical values to two decimal places.)
ŷ =______
2.-The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is
ŷ = 20.987 + 0.340x, where x = price ($) and y = overall score.
| Brand | Price ($) | Score |
|---|---|---|
| A | 180 | 78 |
| B | 150 | 73 |
| C | 95 | 59 |
| D | 70 | 54 |
| E | 70 | 40 |
| F | 35 | 26 |
(a)Compute SST, SSR, and SSE. (Round your answers to three decimal places.)
SST=___
SSR=___
SSE=___
(b)Compute the coefficient of determination r2.(Round your answer to three decimal places.)
r2=___
c)What is the value of the sample correlation coefficient? (Round your answer to three decimal places.)____
1)

= 2.36 + 0.67 x
2)

(a)
SST = 1936
SSR = 1729.580
SSE = 206.420
(b)
r 2 = 0.893
(c)
The value of the sample correlation coefficient = r = 0.945