Working with the Concepts19. Calorles and protein: The following table presents the numberof grams of protein and the number of calories per 100 gramsfor each of 18 fast-food products.ProteinCaloriesProteinCalories5.6236717.2513.732893763153.5818812.9621.2422.5416.2310.646.163.6911.972752682213092265.8440812.224608.051895.1536634416315.9316.52334241Source: United Stutes Department of Agriculturea. Compute the least-squares regression line for predictingcalories (y) frem protein (x).b. Construct a 95% confidence interval for theslope.c. Test H: p, = 0 versus H: 6+ 0. Can you conclude thatthe amount of protein is useful in predicting the number ofcalories? Use the a = 0.05 level of significance.20. Like father lil

19. a. The regression analysis is conducted using EXCEL. The software procedure is given below:…

a. Compute the least-squares regression line for predicting calories (y) frem protein (x). b. Construct a 95% confidence interval for the slope. C. Test H A=0 versus H P+ 0. Can you conclude that the amount of protein is useful in predicting the number of calories? Use the a = 0.05 level of significance.

a. Compute the least-squares regression line for predicting calories (y) frem protein (x). b. Construct a 95% confidence interval for the slope. C. Test H A=0 versus H P+ 0. Can you conclude that the amount of protein is useful in predicting the number of calories? Use the a = 0.05 level of significance.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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