An Unhealthy Commute The following data represent commute times (in minutes) and a score on a well-being survey.
Use the results from Problem 17 in Section 4.2 to answer the following questions:
(a) Treating commute time as the explanatory variable, x, determine the estimates of
0 and
1.
(b) Compute the standard error of the estimate, Se.
(c) Determine Sb1.
(d) A normal probability plot of the residuals indicates it is reasonable to conclude the residuals are normally distributed. Test whether a linear relation exists between commute time and well-being index composite score at the a = 0.05 level of significance.
(e) Construct a 95% confidence interval about the slope of the true least-squares regression line.
Step 1 of 5) An Unhealthy Commute The following data represent commute times (in minutes) and a score on a well-being survey.Use the results from Problem 17 in Section 4.2 to answer the following questions: (a) Treating commute time as the explanatory variable, x, determine the estimates of 0 and 1. (b) Compute the standard error of the estimate, Se. (c) Determine Sb1. (d) A normal probability plot of the residuals indicates it is reasonable to conclude the residuals are normally distributed. Test whether a linear relation exists between commute time and well-being index composite score at the a = 0.05 level of significance. (e) Construct a 95% confidence interval about the slope of the true least-squares regression line. Summary In this chapter, we introduced probability models for random variables. A random variable represents the numerical measurement of the outcome from a probability experiment.