2. DATA file consider the following data for a dependent variable y and two independent variables, z1 and a2.Exer2SELFtesty3012944710108251711251161784094511917574170361211759131427616211a. Develop an estimated regression equation relating y to z1. Predict y if z = 45.Answerb. Develop an estimated regression equation relating y to r2. Predict y if z = 15. 30129447101082517112511617840945119175747.1703612117く59131427616211a. Develop an estimated regression equation relating y to r1. Predict y if z 45.Answerb. Develop an estimated regression equation relating y to r2. Predict y if z3 = 15.Answerc. Develop an estimated regression equation relating y to #į and zy. Predict y if z= 45 and r = 15.Answer

Answered: Image /qna-images/answer/340991f0-56bf-4d55-909c-a06bb18e9efc.jpg

Answered: 30 12 94 47 10 108 25 17 112 51 16 178…

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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Find the slope (b1) for the regression equation for the following values. Round to 3 decimal places. Define Variables xi yi 33 180 25 170 50 200 65 186 57 160 27 165
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A table of data points is given below. a. Find the regression equation for the data points. Use the formulas Sxx=∑ xi−x2 and Sxy=∑ xi−x yi−y to obtain Sxx and Sxy. b. Graph the regression equation and data points. x 1 2 3 y 6 5 10 a. The regression equation is y= + () x. (Simplify your answers. Type integers or decimals. Do not round.)
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1. In a manufacturing process the assembly line speed (feet per minute) was thought to affect the number of defective parts found during the impaction process. To test this theory, managers devised a situation in which the same batch of parts was inspected visually at a variety of line speeds. They collected the following data. Line Speed (x) Number of Defective Parts Found (y) 20 21 20 19 40 15 30 16 60 14 40 17 Use Microsoft Excel to generate regression output for this problem and use the information in the output to answer the following questions.
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