Based on the data shown below, calculate the regression line (each value to two decimal places)у-х+ху327.5524.24425.13623.1222.6121.919.0916.08101118.371215.561315.8511.94141510.7311.22169.0117188.7LO

Regression:In order to obtain the least square regression line, first perform regression analysis on…

Answered: Based on the data shown below,…

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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A. run a simple regression- dependent variable is Weeks, independent variable is Age. B. run a multiple regression with dependent variable weeks and independent variable-age, married, head, manager and sales. C. Create the regular and standardized residual plots for both. Please show the tables when entering values of the regression for both the outputs and the scatter plots.
Based on the data shown below, calculate the regression line (each value to two decimal places)y = x + x y 1 34.8 2 30.92 3 29.44 4 24.46 5 21.18 6 18.2 7 15.72 8 15.44 9 13.56 10 10.68 11 5.3
Annual high temperatures in a certain location have been tracked for several years. Let ✗ represent the year and Y the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places). = y 3 19.17 4 18.36 5 21.15 6 22.34 7 23.93 8 26.02 9 24.51 10 28.7 11 30.59 12 | 29.08 13 31.07 14 35.36 15 32.85 16 36.74 17 37.93 X +
Based on the data shown below, calculate the regression line (each value to at least two decimal places)y = x + x y 4 21.44 5 22.35 6 21.56 7 22.47 8 21.28 9 24.69 10 22.3 11 25.71 12 26.82 13 26.63 14 25.44 15 25.85 16 27.36
Run a regression analysis on the following bivariate set of data with y as the response variable. x y 43.2 -8.5 114.8 171 73.3 87.5 58.4 57.9 68.2 37.2 70.6 90.4 61.4 82.1 87.1 79.6 58 -9.2 78.4 77.2 80.5 87.3 64.1 22.9 54.3 32 Verify that the correlation is significant at an α=0.05α=0.05. If the correlation is indeed significant, predict what value (on average) for the explanatory variable will give you a value of 20.7 on the response variable.What is the predicted explanatory value?x = (Report answer accurate to one decimal place.)
Annual high temperatures in a certain location have been tracked for several years. Let XX represent the year and YY the high temperature. Based on the data shown below, calculate the regression line (each value to two decimal places).y = x + x y 5 26.55 6 27.14 7 27.33 8 29.22 9 31.51 10 30.3 11 33.19 12 35.68 13 36.27 14 36.76 15 40.55
Based on the data shown below, calculate the regression line (each value to two decimal places) y = X + Enter an integer or decimal number [more..] X y 18.66 20.18 5 21.4 6 22.22 7 21.44 8 23.56 9 22.28 10 22.6 3 4
x 5.7 4.1 6.2 4.4 6.5 5.8 4.9 y 1.9 4.8 0.8 3.9 1.2 1.7 3.0 (a) Computethecoefficientofdetermination. (b) Howmuchofthevariationintheoutcomevariableisexplainedbytheleast-squares regression line?
Based on the data shown below, calculate the regression line (each value to two decimal places)y = x y 2 17.72 3 19.58 4 21.24 5 22.6 6 25.56 7 28.62 8 30.78 9 31.74 10 36.4 11 35.96 12 38.62 13 42.18 14 43.14
Based on the data shown below, calculate the regression line (each value to two decimal places) %3D y 13.28 13.41 13.94 8. 10.37 9. 13.7 10 11.03 11 12.46 12 9.99 13 8.82 14 10.55 15 9.18 16 9.81 17 9.84 18 9.47 19 9.2 670
A pair of dice is rolled 210 times. What is the probability that a total of 7 occurs (a) at least 24 times? (b) between 38 and 48 times inclusive? (c) exactly 35 times? Click here to view page 1 of the standard normal distribution table. Click here to view page 2 of the standard normal distribution table.
The computer-science aptitude score, x, and the achievement score, y (measured by a comprehensive final), were measured for 10 students in a beginning computer-science course. The results were as follows. Calculate the estimated standard error of regression, Sb1. (Give your answer correct to two decimal places.) x 4 16 20 13 22 21 15 20 19 16 y 20 20 25 35 26 27 24 29 16 28

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Based on the data shown below, calculate the regression line (each value to two decimal places) у- х+ х у 3 27.55 24.24 4 25.13 6 23.12 22.61 21.9 19.09 16.08 10 11 18.37 12 15.56 13 15.85 11.94 14 15 10.73 11.22 16 9.01 17 18 8.7 LO