Calories and SaltThe data set shown below gives
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Calories and Salt
The data set shown below gives the calories and salt content in 17 brands of meat hot dogs.
| Brand | Calories | Sodium (mg) |
| 1 | 173 | 458 |
| 2 | 191 | 506 |
| 3 | 182 | 473 |
| 4 | 190 | 545 |
| 5 | 172 | 496 |
| 6 | 147 | 360 |
| 7 | 146 | 387 |
| 8 | 139 | 386 |
| 9 | 175 | 507 |
| 10 | 136 | 393 |
| 11 | 179 | 405 |
| 12 | 153 | 372 |
| 13 | 107 | 144 |
| 14 | 195 | 511 |
| 15 | 135 | 405 |
| 16 | 140 | 428 |
| 17 | 138 | 339 |
- Compute the least squares regression on the data set. Use Sodium as the y variable and Calories as the x variable.
- Make a scatter plot with the regression line plotted as well.
- Compute the correlation coefficient.
- Discuss the scatter plot and regression line. Are their outliers? Does your correlation coefficient support your analysis? Does it tell you anything else?
- If there is an outlier remove the outlier from the data set and repeat the previous two parts.
- Can you conclude that hot dogs with more calories will have more sodium (i.e. discuss correlation and causation)?
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