Construct a residual plot. 167 EREG 167 16 167 12 12 12 12 8- 8 8 8 4- 4 4 4- 0- 0- -4 -4 -4 -4 -8 -8 -12 -16 -8- -8- -12 -16 -12 -12 -16 -16 6 8 10 12 8 10 4 6 8 10 6 8 10 4 14 4 6 12 14 12 14 2 12 14 Years of Experience Years of Experience Years of Experience Years of Experience (b) Do the assumptions about the error terms seem reasonable in light of the residual plot? O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions do not appear reasonable. O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions do not appear reasonable. O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions appear reasonable. O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions appear reasonable. • The plot suggests curvature in the residuals indicating that the error term assumptions appear reasonable.

Construct a residual plot. 167 EREG 167 16 167 12 12 12 12 8- 8 8 8 4- 4 4 4- 0- 0- -4 -4 -4 -4 -8 -8 -12 -16 -8- -8- -12 -16 -12 -12 -16 -16 6 8 10 12 8 10 4 6 8 10 6 8 10 4 14 4 6 12 14 12 14 2 12 14 Years of Experience Years of Experience Years of Experience Years of Experience (b) Do the assumptions about the error terms seem reasonable in light of the residual plot? O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions do not appear reasonable. O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions do not appear reasonable. O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions appear reasonable. O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions appear reasonable. • The plot suggests curvature in the residuals indicating that the error term assumptions appear reasonable.

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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Concept explainers

Bar Graphs

A bar graph is a chart or graphical representation of data. A bar chart, also known as a bar graph, is a graph or chart that displays categorical data using rectangular bars with heights or lengths equal to the values they represent. Typically, bar graphs show categorical and numerical variables grouped in class intervals. A bar graph is useful for comparing and analyzing a set of data.

Question

A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ý = 82 + 4x.
Years of
Experience
Annual Sales
($1,000s)
Salesperson
1
80
97
3
97
4
107
103
6
8
116
10
119
8
10
118
11
127
10
13
136
(a) Compute the residuals.
Years of
Experience
Annual Sales
($1,000s)
Residuals
1
80
-5
97
4
4
97
4
107
5
6
103
|-2
8
116
|-2
10
119
|-2
10
118
7
11
127
|-8
13
136
3
Construct a residual plot.

Construct a residual plot.
16T
16T
16
16
12
12
12
12
8
8-
8+
8-
4-
4
4+
4-
-4
-4
-4
-4-
-8
-8-
-8
-8
-12-
-12
-12-
-12
-16
-16
-16
-16
6 8
4 6 8
2
4
6
8
10
12
14
2
4 6 8 10
12
14
4
10
12
14
10
12
14
Years of Experience
Years of Experience
Years of Experience
Years of Experience
(b) Do the assumptions about the error terms seem reasonable in light of the residual plot?
O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions do not appear reasonable.
O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions do not appear
reasonable.
O The plot suggests a funnel pattern in the residuals indicating that the error term assumptions appear reasonable.
O The plot suggests a generally horizontal band of residual points indicating that the error term assumptions appear reasonable.
O The plot suggests curvature in the residuals indicating that the error term assumptions appear reasonable.
Residuals

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A , B , C , D ?
Question 6
1. The information in the following table shows the amount of sales and the profit from a small retail business in Whitby Ontario for the last 15 years. The years have not been provided as you will only need the amounts. Sales ($) (thousands) Profit ($) (thousands) 195 10 205 15 225 22 240 -10 255 25 300 39 265 24 345 55 295 32 335 37 380 48 405 55 355 50 390 48 410 55 a) Create a scatter plot of the data. Identify any outliers, if they occur. b) Sketch the line of best fit and determine its equation. A c) Describe any correlation you see between the variables. What conclusion could someone make based on the scatter plot? ( d) Identify whether you would use interpolation or extrapolation to predict the profit for the sales amount $500,000 and $230,000. e) Predict the profit for the sales amount $500,000 and $230,000.
(a) Find the five-number summary, and (b) draw a box-and-whisker plot of the data. 38852 9 8 79 5 9 4 2 6 29 8779 (a) Min (Simplify your answer) (Simplify your answer. Do not round.) Q2 (Simplify your answer. Do not round.) Q (Simplify your answer. Do not round.) Max (Simplify your answer.) (b) Choose the correct box-and-whisker plot below. O A. O B. C. O D. Click to select your answer(s).
12.1.6Need help please
Player RBI HR AVG Salary (in millions) Prince Fielder 44 8 0.212 18.000 Jean Segura 64 20 0.320 2.600 Logan Forsythe 52 20 0.264 2.750 Chris Iannetta 24 7 0.210 4.550 Adam Jones 83 29 0.265 16.000 Curtis Granderson 59 30 0.237 16.000 Jason Heyward 49 7 0.230 21.667 Hanley Ramirez 111 30 0.286 22.750 David Ortiz 127 38 0.315 16.000 Matt Wieters 66 17 0.243 15.800 Colby Rasmus 54 15 0.206 15.800 Rajai Davis 48 12 0.249 5.950 Mike Trout 100 29 0.315 16.083 Troy Tulowitzki 79 24 0.256 20.000 Justin Smoak 34 14 0.217 3.900 Adrian Beltre 104 32 0.300 18.000 Matt Holliday 62 20 0.246 17.000 Hunter Pence 57 13 0.289 18.500 Brian McCann 58 20 0.242 17.000 J.D. Martinez 68 22 0.307 6.750 Ryan Braun 91 31 0.305 20.000 Mark Teixeira 44 15 0.204 23.125 Victor Martinez 86 27 0.289 18.000 Justin Upton 87 31 0.246 22.125 Carlos Gonzalez 100 25 0.298 17.454 Determine the correlation coefficient. (Round your answer to 4 decimal places.) Find the…
L1Q6.
11 10- 9+ 8 . 7- 1 6- 13 11- 10- 0 1234 4 567 8 9 10 11 9+ 8+ 7- 6- 5- 4- 3. 2+ 1+ 0 11 10- 9- 8+ 7+ 6+ 5 4- 3 J 2. 1- 0 Scatter Plot A Scatter Plot B 1 2 3 4 5 6 7 8 9 10 11 Scatter Plot C 1 2 3 4 5 x 6 7 8 9 10 11 4- 3- 2+ 1+ -1. -2- -3- 4- -5- Residual Plot 1 Which scatter plot matches this residual plot? ✓ Choose one 8 9 10 Scatter Plot A Scatter Plot B Scatter Plot C the line of best t? v 3- 2. 1. -1- -2+ -3. -5_ Residual Plot 2 6 Which scatter plot matches this residual plot? Choose one V What best describes the line of best fit for the scatter plot? Choose one v 2. -1 -3 -4- -5_ Residual Plot 3 6 ● Which scatter plot matches this residual plot? Choose one X What best describes the line of best fit for the scatter plot? Choose one Ś v
Please answer number 1,2 and 3