Given are five observations for two variables, x and y.X, 12 345Y 3661213(a) Develop a scatter diagram for these data.y18-15-12-963-у18-15129.63-x01234560123456оy18-1512-9-30 12345оType here to search0AN2A+W3SEt64ERF5%25FO6TL③>&27y18-1512963.C8#0012356のF10DFGHJKXCVBNMAll76°FP O There appears to be a positive linear relationship between x and y.(c) Try to approximate the relationship between x and y by drawing a straight line through the data.y181512963y18-15-12-96312356y181512963123462345y1815-12963-(d) Develop the estimated regression equation by computing the values of bo and b₁ using b₁x(x-x)(x,y)x(x-x)²and boy-b₁xŶ =(e) Use the estimated regression equation to predict the value of y when x = 4.EscFnLockType here to search0ANAl立F2A+F3F4*-2W$44#3ERSXDC%15*+T6L312346@F7&27FBC8*6LLFGHJKVB N M

Answered: Given are five observations for two…

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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1. Consider the following table of data: Defects per 100 vehicles (alphabetical by brand) BRAND. DEFECTS Acura. 89 Audi. 111 BMW. 113 Buick. 114 Cadillac. 111 Chevrolet. 111 Chrysler. 126 Dodge. 131 Ford. 104 GMC. 124 Honda. 88 Hyundai 80 Infinite. 83 Jaguar. 129 Jeep. 128 Kia. 135 Land Rover 175 Lexus. 107 Lincoln. 93 Mazda. 114 Mercedes-Benz 106 Mercury. 113 MINI. 125 Mitsubishi. 147 Nissan. 111 Porsche. 91 Ram. 110 Scion. 114 Subaru. 130 Toyota. 117 Volkswagen. 132 Volvo. 96 A. Construct a stem-and-leaf plot for the number of defects per 00 vehicles for these 32 brands. S-and-LP for. Weights Stem unit. =. 10 Leaf unit. =. 1 Frequency. S. L
Five observations taken for two variables follow. a. Which of the following scatter diagrams accurately represents the data set? A. 60 -50 40- 30 -20 -10 60 -50 -40- -30 20 10 20 30 40 B. D. -60 50 -40- -30 -20 -10 60 -50 -40- -30 20 • 10 20 30 274 Yi 40 A 44 40 5 10 40 30 4 15 60 20
7) The following results are from data that were collected from a sample of Chicago Cubs baseball games. The dependent variable is ATTENDANCE, TEMP is a variable measuring the forecasted game-time temperature: WIN% is a variable measuring the winning percentage of the Cubs before the game is played, OPWIN% is a variable measuring the winning percentage of their opponent, WEEKEND is a dummy variable = 1 if the game is played on a weekend and = 0 if the game is played during a weekday, PROMOTION is a dummy variable = 1 if there is a promotion for the game (giving away something to those who attend the game) and = 0 if there is not a promotion, and WEEK*PROM is an interaction term equal to WEEKEND*PROMOTION. a) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is NO promotion? b) What is the predicted attendance if TEMP = 70, WIN% = 500, OPWIN% = 500, the game is played on a weekend and there is a promotion? c) Based on…
2) Kate works as a manager at a call center. She wants to observe how waiting times of customers to be assigned with a representative show variation so that she can schedule the working hours of employees accordingly. Her claim is that variance between waiting times is no more than 60 minutes. She keeps track of waiting times for 22 customers which are given below: 35 29 12 35 16 28 37 13. 14 38 15 39 23 26 29 16 19 23 15 25 17 28 Kate wants to find the smallest Type 1 error probability that allows her to reject Ho. Define an interval for such Type 1 error probability.
8) The following results are from data that were collected from the various high schools around the county. The dependent variable is % OF STUDENTS GOING TO COLLEGE, and the independent variables are: AVERAGE CLASS SIZE, COMBINED SAT SCORES, SPENDING PER STUDENT, AVERAGE TEACHER SALARY, AND % TAKING THE SAT Since the 3 variables AVERAGE CLASS SIZE, SPENDING PER STUDENT, AND AVERAGE TEACHER SALARY are each not significant at the 10% level of significance individually, in order to test to see if as a group they are significant the 3 variables are excluded and another regression is run. The results are as follows: a) At the 10% level of significance, test whether as a group AVERAGE CLASS SIZE, SPENDING PER STUDENT, AND AVERAGE TEACHER SALARY are significant. Be sure to state the null and alternative hypotheses for this hypothesis test.
L4Q7.Which of the following scatter plots shows a negative correlation?

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