The chart below shows the results of a sample of 10 workers from a large company. Employee Years of Experience Income (In thousands of dollars) 1 20 2 5 30 3 40 4 10 30 10 50 15 50 7 20 60 25 50 30 70 10 35 60 • What is the equation of the line of best fit? What can we expect an employee to make if they have 7 years of experience? (Round to the nearest thousand.) $ This is an example of extrapolation + • The correlation coefficient is • This means there is a weak negative + relationship between variables based on the data from the sample. LO CO

The chart below shows the results of a sample of 10 workers from a large company. Employee Years of Experience Income (In thousands of dollars) 1 20 2 5 30 3 40 4 10 30 10 50 15 50 7 20 60 25 50 30 70 10 35 60 • What is the equation of the line of best fit? What can we expect an employee to make if they have 7 years of experience? (Round to the nearest thousand.) $ This is an example of extrapolation + • The correlation coefficient is • This means there is a weak negative + relationship between variables based on the data from the sample. LO CO

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Could you please tell me if my work is correct? Forbes magazine published data on the best small firms in 2012. These were firms which had been publicly listed for at least a year, have a stock price of at least $5 per share, and have reported annual revenue between $5 million and $1 billion. The table shows the ages of the chief executive officers for the first 60 ranked firms. Age Frequency Relative Frequency Cumulative Relative Frequency 40–44 3 0.05 0.05 45–49 11 0.18 0.23 50–54 13 0.22 0.45 55–59 16 0.27 0.72 60–64 10 0.17 0.88 65–69 6 0.10 0.98 70–74 1 0.02 1.00 Total: 60 1 How I got the calculations: Age Frequency Relative Frequency Cumulative Relative Frequency 40–44 3 =F10/F17 =G10 45–49 11 =F11/F17 =H10+G11 50–54 13 =F12/F17 =H11+G12 55–59 16 =F13/F17 =H12+G13 60–64 10 =F14/F17 =H13+G14 65–69 6 =F15/F17…
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Scenario: A pediatrician wants to determine the relation that may exist between a child’s height and head circumference. She randomly selects eleven 3-year old children from her practice, measures their heights and head circumference, and obtains the data shown below: Child’s Height and Head Circumference Height (inches) Head Circumference (inches) 27.75 17.6 24.5 17.3 25.5 17.4 26 17.5 25 17.1 25.75 17.8 26.5 17.5 27 17.7 26.75 17.5 26.75 17.8 27.5 17.7 If the pediatrician wants to use height to predict head circumference, determine which variable is the explanatory variable and which is response variable. Draw a scatter diagram of the data. Draw the best fit line on the scatter diagram. Does this scatter diagram show a positive, negative, or no relationship between a child’s height and the head circumference?
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