# Question: Analysis of a Detroit Marathon n 1 015 men n

Analysis of a Detroit Marathon (n = 1,015 men, n = 150 women) produced the regression results shown below, with dependent variable Time (the marathon time in minutes) and predictors Age (runner's age), Weight (runner's weight in pounds), Height (runner's height in inches), and Exp (1 if runner had prior marathon experience, 0 otherwise).

(a) Interpret the coefficient of Exp.

(b) Does the intercept have any meaning?

(c) Why do you suppose squared predictors were included?

(d) Plug in your own Age, Height, Weight, and Exp to predict your own running time. Do you believe it? (Data courtesy of Detroit Striders.)

(a) Interpret the coefficient of Exp.

(b) Does the intercept have any meaning?

(c) Why do you suppose squared predictors were included?

(d) Plug in your own Age, Height, Weight, and Exp to predict your own running time. Do you believe it? (Data courtesy of Detroit Striders.)

**View Solution:**## Answer to relevant Questions

Refer to the ANOVA table below. (a) State the degrees of freedom for the F test for overall significance. (b) Use Appendix F to look up the critical value of F for α = .05. (c) Calculate the F statistic. Is the ...Refer to the ANOVA table below. (a) State the degrees of freedom for the F test for overall significance. (b) Use Appendix F to look up the critical value of F for α = .05. (c) Calculate the F statistic. Is the ...For each of the following tted trends, make a prediction for period t = 17: a. yt = 2286 e.076t b. yt = 1149 + 12.78t c. yt = 501 + 18.2t – 7.1t2 (a) Plot the data on law enforcement officers killed. (b) Describe the trend (if any) and discuss possible causes or anomalies in the data. (c) Would a fitted trend be helpful? Explain. (c) Make a forecast for 2009 using ...(a) Make an Excel line graph of the data on employee work stoppages. (b) Discuss the under- lying causes that might explain the trend or pattern. (c) Fit three trends (linear, exponential, quadratic). (d) Which trend ...Post your question