Suppose we have two thermometers. One thermometer is very
precise but is delicate and heavy (X). We have another thermometer
that is much cheaper and lighter, but of unknown precision (Y). We
would like to know if we can (reliably) bring the lighter
thermometer with us into the field. So, we set up an experiment
where we expose both thermometers to 31 different temperatures and
measure the temperature with each. We get the following
observations
x = 0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 60,
64, 68, 72, 76, 80, 84, 88, 92, 96, 100, 104, 108, 112, 116,
120
y = 0.02, 3.99, 7.91, 12.03, 16.09, 20.00, 23.98, 28.09, 31.94,
36.03, 40.00, 44.05, 47.95, 52.00, 55.87, 59.90, 63.91, 67.95,
72.11, 76.02, 80.01, 84.10, 88.06, 91.74, 96.02, 99.95, 103.87,
108.01, 111.99, 116.04, 120.03
Answer all questions up to 3 decimals
Estimate the simple linear regression model and
What is the standard error of ?
What is the quantile for the margin of error of a 99.9% confidence
interval for ?
What is the lower end point of that interval?
What is the upper end point of that interval?
Estimate the simple linear regression model and
y^ = 0.0017339 + 0.9997883 x
What is the standard error of ?
standard error = 0.07963
What is the quantile for the margin of error of a 99.9% confidence
interval for ?
t for 99.9% confidence interval = 3.659
It is not clear if it wants confidence interval of slope or y^ for some specific x
i am assuming it is for slope
confint(model,level = 0.999) 0.05 % 99.95 % (Intercept) -0.1004584 0.1039261 x 0.9983254 1.0012512
What is the lower end point of that interval?
=0.9983254
What is the upper end point of that interval?
1.0012512
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