Identify which of the following scatterplots contain possible outliers or observations influential for the least squaresregression line. Select all that apply90203080-15.70-3 60-1010-50-520,000 40,000 60.00 s0,00 100.000 120.000101525354030Number of incorrect answersDistance driven (mi)Age (years)OutlierInfluential observationOutlier60-4555-50-45-22-35-20-25-40-18-15-5.5 6.0 6.5 7.0 7.5 8.0Hours slept6570752.05 2.10 2.15 2.20 2.25 2.30 2.35 2.405.0Daily high temperature (*F)Price of gasoline (S/gal)No outliers or influential observationsNo outliers or influential observationsOutlierInfluential observationAnswer BankNo outliers or influential observationsInfluential observationOutlierDaily low temperature ("F)Test scoreDuration of commute (min)Years of full-time employmentCoffee consumed (oz)Number of oil changes

Outlier is an extreme values in the data set. Influential observation is the observation whose…

Answered: gression line. Select all that apply…

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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Please answer part c. It should be at the top of the picture. Make sure to answer the right question. Show work!!
Class 2 Class 1 30 Grades of Two Classes + 40 50 60 + 70 80 90 100 110 120 Grade The box plots above show the grades of two classes. Use these box plots to answer the following questions: 1. What is the IQR of Class 1? 2. What is the range of Class 2?
answer the following
77.5 >> 84 :The data given below shows the cumulative frequency of students' grades in a class 72.5> 64 |67.5 > 46 62.5> 19 57.5> 6 Grades Cumulative Frequency Reference: freq The best graph for representing the data shown in the previous table is called .frequency polygon .A O histogram.BO .time series graph.CO .ogive.DO
QUESTION 6 What type of graph would you used to describe the variable "Program of Study? A histogram because "Program of Study" is a quantitative value. O A histogram because "Program of Study" is a qualitative value. A bar graph because "Program of Study" is a quantitative value. O A bar graphs because "Program of Study" is a qualitative value. QUESTION 7 What type of graph would you used to describe the variable "Age"? O A histogram because "Age" is a quantitative value.
instructional purposes only 1st Semester SY 2021-2022 107 b. Which group is more varied in terms of their scores? Why? sessment Consider the scores of 30 students in an English class. 88 73 62 53 74 84- 78 81 86 81, 85 78 72 73 76' 63 68 82 85 72 74 73. 62 65 60 88 71 85 84 57 a. Using the data above, construct the following graphs: stem plots line graphs histograms/ box-plots b. Using also the data above, determine the first and third quartiles. Write a brief interpretation of the results. C. Determine also the 75th, 50™, and 24th percentiles. Interpret the С. results. Relow are the scores of 70 students in Math 101 class. Constructa lculate the mean the median and the
1-9
Match the class with the relative frequency by reading the graph. 100% Relative Commulative Frquency 90% 80% 70% 60% 50% 40% 30% 20% 10% Relative Cumulative Frequency Palygon -0.5 10.5 21.5 32.5 43.5 54.5 65.5 76.5 87.5 Class Boundaries 54.5-65.5 21.5-32.5 1. 0% 65.5-76.5 2 10% 76.5-87.5 3. 20% -0.5-10.5 4. 30% 10.5-21.5 5, 40% 6. 50% 43.5-54.5 32.5-43.5
Exhibit 10-30 A quantitative analysis teacher wants to see if there is any difference in the abilities of students enrolled in statistics in the summer and in the fall. Examination scores from a random sample of students enrolled this fall and from a random sample of students enrolled in the summer were selected. You are given the following information. x O n 6 -2.34 -10.77 Fall -6 74 17.06 35 Refer to Exhibit 10-30. The point estimate for the difference between the means of the two populations is Summer 84.77 19.01 28
Solve #3 with data shown.
Q1/ A// Determine the relative cumulative frequency for the data below. Class 0-10 10-20 20-30 30-40 40-50 50-60 60-70 interval Frequency | 95 B// Draw the polygon curve for the data above. 30 60 40 20 10
Ages Frequency 42-45 2 46-49 7 50-53 8 54-57 16 58-61 5 62-65 4 66-69 2 identify any possible outliers

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