1 Tail0.20.10.050.0250.010.0052 Tail0.40.20.10.050.020.01Conf Lev0.60.80.90.950.980.99df11.3763.0786.31412.70631.82163.65721.0611.8862.924.3036.9659.92530.9781.6382.3533.1824.5415.84140.9411.5332.1322.7763.7474.6040.921.4762.0152.5713.3654.03260.9061.441.9432.4473.1433.70770.8961.4151.8952.3652.9983.4998.0.8891.3971.862.3062.8963.3550.8831.3831.8332.2622.8213.25100.8791.3721.8122.2282.7643.169110.8761.3631.7962.2012.7183.106120.8731.3561.7822.1792.6813.055130.871.351.7712.162.653.012140.8681.3451.7612.1452.6242.977150.8661.3411.7532.1312.6022.947160.8651.3371.7462.122.5832.921170.8631.3331.742.112.5672.898180.8621.331.7342.1012.5522.878190.8611.3281.7292.0932.5392.861200.861.3251.7252.0862.5282.845210.8591.3231.7212.082.5182.831220.8581.3211.7172.0742.5082.819230.8581.3191.7142.0692.52.807240.8571.3181.7112.0642.4922.797250.8561.3161.7082.062.4852.787260.8561.3151.7062.0562.4792.779 Consider the set of ordered pairs shown below. Assuming that the regression equation is y = 4.293 +0.208x and theSSE = 5.167, construct a 95% prediction interval for x = 1.x 3 7 1 3 3y65Click the icon to view a portion of the student's t-distribution table.Calculate the upper and lower limits of the prediction interval.UPL =LPL =(Round to three decimal places as needed.)

Given : The regression equation is: Y^=4.2917+0.2083X \hat Y = 4.2917 + 0.2083 X Now that we have…

Consider the set of ordered pairs shown below. Assuming that the regression equation is y = 4.293 +0.208x and the SSE = 5.167, construct a 95% prediction interval for x = 1. x 3 7 1 3 3 y 6 Click the icon to view a portion of the student's t-distribution table. 6 5 5 3 Calculate the upper and lower limits of the prediction interval. UPL = LPL =

Consider the set of ordered pairs shown below. Assuming that the regression equation is y = 4.293 +0.208x and the SSE = 5.167, construct a 95% prediction interval for x = 1. x 3 7 1 3 3 y 6 Click the icon to view a portion of the student's t-distribution table. 6 5 5 3 Calculate the upper and lower limits of the prediction interval. UPL = LPL =

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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