Applying regression from Megastat on above data:
Regression output | confidence interval | |||||
variables | coefficients | std. error | t (df=13) | p-value | 95% lower | 95% upper |
Intercept | 0.9483 | 0.1792 | 5.290 | .0001 | 0.5610 | 1.3355 |
x | 0.0977 | 0.1657 | 0.590 | .5655 | -0.2602 | 0.4556 |
Predicted values for: y | ||||||
95% Confidence Interval | 95% Prediction Interval | |||||
x | Predicted | lower | upper | lower | upper | Leverage |
1.2 | 1.06550 | 0.94611 | 1.18490 | 0.64158 | 1.48943 | 0.086 |
1)
95% confidence interval = (0.946 , 1.185)
2)
95% prediction interval = (0.642 , 1.489)
Cardiologists use the short-range scaling exponent 09, which measures the randomness of heart rate patterns, as...
Find a 95% confidence interval for the mean long-term measurement for those with short-term measurements of 1.2. Round the answers to three decimal places. The 95% confidence interval is ( , ). Find a 95% prediction interval for the long-term measurement for a particular individual whose short term measurement is 1.2. Round the answers to three decimal places. The 95% prediction interval is ( , ). Required information Cardiologists use the short-range scaling exponent 1, which measures the randomness of heart rate patterns, as...