Using the heights and weights described in Exercise 1, a height of 180 cm is used to find that the predicted weight is 88.0 kg, and the 95% prediction interval is displayed by Minitab as (50.7, 123.0). Write a statement that interprets that prediction interval. What is the major advantage of using a prediction interval instead of simply using the predicted weight of 88.0 kg? Why is the terminology of prediction interval used instead of confidence intervals?
Answer to relevant QuestionsUsing the heights and weights described in Exercise 1, the linear correlation coefficient r is 0.356. Find the value of the coefficient of determination. What practical information does the coefficient of determination ...r — 0.751 (x = weight of discarded plastic, y = household size) Use the value of the linear correlation coefficient r to find the coefficient of determination and the percentage of the total variation that can be ...Foot length: 26.0 cm; 95% confidence. Use the paired data consisting of foot lengths (cm) and heights (cm) of the 40 people listed in Data Set 2 of Appendix B. Let x represent foot length and let y represent the ...For Exercise 2, why is it better to use values of adjusted R2 instead of simply using values of R2? Refer to Data Set 10 in Appendix B and use the tar, nicotine, and CO amounts for the cigarettes that are 100 mm long, filtered, nonmenthol, and nonlight (the last set of measurements). Find the best regression equation for ...
Post your question