An engineer wants to predict the value for y when x = 4.5, using the following data set.z = Inyхy0.2-1.610.3-1.200.50.53-0.694-0.691.30.26230.83291.064.51.508.72.161012.02.48Construct a scatterplot of the points (x, y).Should the least-squares line be used to predict the value of y when x = 4.5? If so,compute the least-squares line and the predicted value. If not, explain why not.Construct a scatterplot of the points (x, z), where z = In y.Use the least-squares line to predict the value of z when x = 4.5. Is this an appropriatemethod of prediction? Explain why or why not.a.b.C.d.Let ? denote the predicted value of z computed in part (d). Let ŷ =. Explain why 9is a reasonable predictor of the value of y when x= 4.5.e.

Answered: An engineer wants to predict the value…

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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Below is data for two variables, X and Y. Answer the questions that follow. X Y X-MX Y-MY (X-MX)2 (Y-MY)2 (X-MX)(Y-MY) 3 3 -2 -1 4 1 2 4 3 -1 -1 1 1 ___ 6 4 1 ___ 1 0 0 7 6 2 2 ___ 4 4 Positive or negative correlation?
An insurance investigator has observed that people with some astrological signs tend to be safer drivers than people with other signs. Using insurance records, the investigator classified 150 people according to their astrological signs and whether or not they were involved in a car accident during the previous 12 months. Do the following data indicate a significant relationship between sign and accidents? Test with a = .05. Libra Leo Gemini Accident 7 4 19 No Accident 73 46 1
A 7. The analyst in the Dorben Company made 10 independent time studies in the hand paint- spraying section of the finishing department. The product line under study revealed a direct relation between spraying time and product surface area. The following data were collected. Study No. 1 2 3 4 5 6 8 9 10 Surface Area 170 12 150 41 130 50 70 105 95 (sq. inches) Standard Time (hours) 0.32 0.11 0.31 0.14 0.27 0.18 7 120 0.24 0.23 0.25 (7a) Compute the slope and intercept constant using regression line equations. (7b) What is the correlation coefficient? (7c) How much spray time would you allow for a new part with a surface area of 250 sq. inches? 0.22
We will rank the y-values of the following data set: x y -1 0.6 -0.5 -5.2 1.7 6 2.6 7.2 3.2 11.6 5.1 15.3 6.7 7.7 8.8 17.1 9.4 22.4 10.1 13.8 Fill in the following table: x y x-rank y-rank -1 0.6 1 -0.5 -5.2 2 1.7 6 3 2.6 7.2 4 3.2 11.6 5 5.1 15.3 6 6.7 7.7 7 8.8 17.1 8 9.4 22.4 9 10.1 13.8 10
We will rank the y-values of the following data set: x y -5 2.8 -2.9 -1.7 -1.2 3.9 0 2.7 1.3 -6.6 2.2 -6.9 3.3 5.9 Fill in the following table: x y x-rank y-rank -5 2.8 1 -2.9 -1.7 2 -1.2 3.9 3 0 2.7 4 1.3 -6.6 5 2.2 -6.9 6 3.3 5.9 7
c. Which of the following is the correct graph of the given data? -ОА. 10 1012 12 10 O C. 12- 81012 1012 Using the graph, explain the dramatic difference between the answers to parts (a) and (b). Choose the correct answer below. OA. The point (10,10) is not an outier, but it does have a strong effect on the least squares line and the correlation coefficient. OB. The point (10,10) does not have any effect on the least squares line and the correlation coefficient. OC. The point (10,10) is an outler that has a weak effect on the least squares line and the correlation coefficient. OD. The point (10,10) is an outlier that has a strong effect on the least squares line and the correlation coefficient.
Use the data table below to answer the questions regarding the relationship between sit-ups (X) and pull-ups (Y). Subject Y 1 20 15 2 15 10 3 34 20 4 18 17 5 23 7 1. Subject X2 Y Y2 XY 1 20 400 15 225 300 2 15 225 10 100 150 3 34 1156 20 400 680 4 18 324 17 289 306 23 529 7 49 161 110 2634 69 1063 1597 5E
.The two data sets below represent the high temperatures in two citieseach day for 5 days.City A: 18°F, 44°F, 52°F, 55°F, 58°F, 56°FCity B: 15°F, 41°F, 63°F, 61°F, 57°F, 60°F Which statementbestdescribes the measure of center that provides themost accurate estimation of the high temperature in a day in each city? A.mean, because there is an even number of values in each data set B.median, because there is an even number of values in each data set C.mean, because there is one value in each data set that is significantlylower than the other values D.median, because there is one value in each data set that issignificantly lower than the other values
We will rank the y-values of the following data set: x y 3 -7.5 4.3 6.5 4.9 -7.5 6.9 -0.1 8 4.8 9.2 -7.3 10.1 -3 10.8 2.5 11.9 -13.1 Fill in the following table: x y x-rank y-rank 3 -7.5 1 4.3 6.5 2 4.9 -7.5 3 6.9 -0.1 4 8 4.8 5 9.2 -7.3 6 10.1 -3 7 10.8 2.5 8 11.9 -13.1 9

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