2. Observe the data below 4 Hours of Exercise per Week BMI 이 32.5 21 28 CON 6 301 10 25 14 24 27 8 NI Find the line of b
Posted: Mon May 09, 2022 1:02 pm
2. Observe the data below 4 Hours of Exercise per Week BMI 이 32.5 21 28 CON 6 301 10 25 14 24 27 8 NI Find the line of best fit that gives BMI as a function of hours of activity per week.
Using the linear model, approximate the BMI of someone who exercises 12 hours per week. If you are aware the paired data is not significantly correlated, what would be the best estimate for the BMI of someone who exercises for 12 hours per week?
3. Consider the same data set as in problem number 2 4 101 Hours of Exercise per Week BMI 0 32.5 2 28 6 30 [프 14 24 27 25 Find the correlation coefficient
If you choose a 5% probability significance threshold, is this correlation significant? What if you choose a 1% probability significance threshold?
Using the linear model, approximate the BMI of someone who exercises 12 hours per week. If you are aware the paired data is not significantly correlated, what would be the best estimate for the BMI of someone who exercises for 12 hours per week?
3. Consider the same data set as in problem number 2 4 101 Hours of Exercise per Week BMI 0 32.5 2 28 6 30 [프 14 24 27 25 Find the correlation coefficient
If you choose a 5% probability significance threshold, is this correlation significant? What if you choose a 1% probability significance threshold?