In: Statistics and Probability
In an obesity study, a researcher wishes to determine if age, average sleep duration, and depression score have any effect on a person’s weight. The researcher takes a random sample of 25 participants that have been diagnosed as obese and records their measurements. Using the data, create the regression output (not including the y-intercept) then answer the questions below. Note that all variables are quantitative. Let α = 0.05.
Weight | Age | Average Sleep Duration | Depression Score |
210.5 | 25 | 5.4 | 18 |
196.1 | 36 | 6.3 | 8 |
233.4 | 33 | 7.9 | 15 |
210.9 | 41 | 8.1 | 10 |
221.7 | 29 | 6.8 | 14 |
199.1 | 27 | 7.5 | 9 |
245.6 | 37 | 7.6 | 21 |
267.2 | 31 | 6.9 | 25 |
181.9 | 29 | 6.9 | 6 |
294.6 | 40 | 8.4 | 32 |
256.3 | 36 | 8.1 | 28 |
211.7 | 22 | 8.6 | 12 |
202.4 | 46 | 7.8 | 7 |
194.4 | 32 | 7.2 | 6 |
211.3 | 41 | 8.2 | 11 |
186.5 | 26 | 5.8 | 3 |
195.9 | 28 | 6.9 | 8 |
201.2 | 37 | 7.1 | 10 |
267.8 | 30 | 7.5 | 27 |
288.4 | 27 | 6.8 | 31 |
234.2 | 39 | 7.5 | 20 |
290.1 | 45 | 8.3 | 33 |
195.2 | 23 | 5.4 | 7 |
182.3 | 26 | 7.3 | 4 |
210.6 | 35 | 8.1 | 11 |