A sample of 10 blue-collar employees at a production plant was taken. Each employee was asked to assess his or herown job satisfaction (x) on a scale of 1 to 10. In addition, the numbers of days absent (y) from work during the last yearwere found for these employees. The sample regression line, given below, was estimated by least squares for these102data. Also found were x = 6.8, Σ (x₁ - x)² = 75.6, and SSE = 31. Complete parts a and b below.i=1y₁ = 13.7 - 1.2x₁Click to view the table of critical values of the Student's t distribution.Find the p-value.The p-value is 0.0007.(Round to four decimal places as needed.)Since the p-value is less than the significance level,satisfaction has a negative linear effect on absenteeism.rejectThe 95% prediction interval for the point runs from to(Round to two decimal places as needed.)Ho. This means that there is evidence that jobb. A particular employee has job satisfaction level 4. Find a 95% interval for the number of days this employee would beabsent from work in a year.

To find the 95% prediction interval for the number of days absent for an employee with a job…

Answered: b. A particular employee has job…

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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Following shows the numbers of Amazon Prime members in the millions, each quarter from 2016 to 2021. Quarter 2016 2017 2018 2019 2020 2021 1 26 36 48 62 81 98 2 27 37 50 65 83 103 3 29 40 53 69 86 109 4 33 44 57 74 93 117 Construct a line chart using the data. Describe the relationship between the time and number of subscribers.
Researchers are interested in whether or not shoe size could predict height. Data was collected from 25 students. Students reported their height and shoe size. (Source: Intro to Statistics by Gould & Ryan). Height = 51.46 + 1.728 (Shoe Size) 74 72 70 68 66 64 62 60 4 7 9. 10 11 12 13 Shoe Size a. According to the graph, define the input, including units. b. According to the graph, define the output variables, including units. b. Use the equation of the regression line to interpret the rate of change, including units. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIU S Paragraph Arial 10pt A v Ix *G白CQ ... x? X2 ABC 甲图 Ť (i} > II !!! +] > 四用 S田 Height (in inches)
A financial analyst is examining the relationship between stock prices and earnings per share. She chooses sixteen publicly traded companies at random and records for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her data are given below, with x denoting the earnings per share from the previous year and y denoting the current stock price (both in dollars). A scatter plot of her data is shown in Figure 1. Also given is the product of the earnings per share and the current stock price for each of the sixteen stocks. (These products, written in the column labelled "xy ", may aid in calculations.) Earnings per share, x (in dollars) 36.79 49.84 30.65 30.17 17.66 57.66 37.98 20.65 58.67 13.52 41.83 39.28 43.73 Current stock price, y (in dollars) 1.43 1.56 0.81 1.40 0.77 2.64 1.11 0.70 2.18 0.41 1.80 1.05 1.63 ху 52.6097 77.7504 24.8265 42.238 13.5982 152.2224 42.1578 14.455 127.9006 5.5432 75.294 41.244 71.2799 Current stock…
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
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A financial analyst is examining the relationship between stock prices and earnings per share. She chooses fifteen publicly traded companies at random and records for each the company's current stock price and the company's earnings per share reported for the past 12 months. Her data are given below, with x denoting the earnings per share from the previous year and y denoting the current stock price (both in dollars). A scatter plot of her data is shown in Figure 1. Also given is the product of the earnings per share and the current stock price for each of the fifteen stocks. (These products, written in the column labelled "xy ", may aid in calculations.) Earnings per Current stock price, y (in dollars) share, x (in dollars) xy 37.59 1.19 44.7321 y 56.02 2.70 151.254 20.21 0.75 15.1575 X 41.33 0.91 37.6103 19.90 0.63 12.537 58.72 2.37 139.1664 43.33 1.45 62.8285 42.61 1.77 75.4197 13.72 0.52 7.1344 37.29 1.39 51.8331 30 30.12 0.93 28.0116 49.34 1.59 78.4506 Earnings per share (in…
A financial analyst is examining the relationship between stock prices and earnings per share. She chooses fifteen publicly traded companies at random and records for each the company's current stock price and the company's earnings per share reported for the past12 months. Her data are given below, with x denoting the earnings per share from the previous year and y denoting the current stock price (both in dollars). A scatter plot of her data is shown in Figure 1. Also given is the product of the earnings per share and the current stock price for each of the fifteen stocks. (These products, written in the column labelled " xy Earnings per share, x (in dollars) Current stock price, y (in dollars) xy 49.65 1.53 75.9645 27.34 1.09 29.8006 36.07 1.47 53.0229 21.11 0.70 14.777 58.19 2.32 135.0008 58.32 2.86 166.7952 43.48 1.08 46.9584 18.20 0.85 15.47 41.85 1.68 70.308 32.39 1.68 54.4152 30.67 1.34 41.0978 42.03 1.54 64.7262 15.56 0.54 8.4024…

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b. A particular employee has job satisfaction level 4. Find a 95% interval for the number of days this employee would be absent from work in a year. The 95% prediction interval for the point runs from to