This assignment uses hypothesis testing to determine if there is significant difference between the means of three or more groups.
Step 1: Solve the following problems:
Find solutions to the following problems. Be sure to include a statement about significance and complete a Tukey’s HSD when necessary.
1. Subjects are interviewed about their sugar consumption and then had their fasting blood-sugar levels measured. Find the correlation coefficient, the least-squares regression line, and the predicted blood-sugar level for someone who consumes 340 grams of sugar per day. Also, test the hypothesis that sugar consumption has no affect on blood-sugar levels against the alternative that increases in sugar consumption are correlated with increases in blood-sugar level at 1% significance.
Sugar g/day Blood-sugar mg/dl
87 78
101 98
142 159
167 176
198 255
231 238
300 374
2. Subjects were interviewed about their smoking habits in cigarettes per day and were tested for their aerobic capacity. Taking cigarettes per day as the explanatory (independent) variable and aerobic capacity as the response (dependent) variable, find the correlation coefficient, the least-squares regression line, and the predicted aerobic capacity for someone who smokes 25 cigarettes a day. Also, test the null hypothesis that smoking does not affect aerobic capacity against the alternative that increased smoking decreases aerobic capacity at 5% significance.
Cigarettes per day Aerobic Capacity
3 52
5 38
6 45
9 34
11 29
12 31
16 17
19 25
Step 2: Submit your completed assignment to the Week 10 Assignment submission link
See rubric download for grading details
****Attached are pictures of the charts so its easier to read
