The personnel director of a large hospital is interested in determining the relationship (if any) betweenan employee's age and the number of sick days the employee takes per year. The director randomlyselects ten employees and records their age and the number of sick days which they took in theprevious year.Employee123678.910Age30504055302860253045Sick Days742108.Copy DataThe estimated regression equation and the standard error are given.Sick Days14.310162 – 0.236900( Age%3DSe1.682207Find the 90 % prediction interval for the average number of sick days an employee will take per year,given the employee is 21. Round your answer to two decimal places.2454,3.

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Answered: The personnel director of a large…

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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Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x Stories, y 762 51 621 46 515 45 508 42 491 39 480 36 (a) x = 502 feet (c) x = 315 feet Find the regression equation. ŷ=x+ (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) (b) x = 645 feet (d) x = 731 feet
The personnel director of a large hospital is interested in determining the relationship (if any) between an employee's age and the number of sick days the employee takes per year. The director randomly selects ten employees and records their age and the number of sick days which they took in the previous year. Employee 1 | 2 4 6 7 8 10 5 30 50 40 30 28 Age 55 60 25 30 45 Sick Days 7 4 3 9 10 8 5 2 Copy Data The estimated regression line and the standard error are given. Sick Days 14.310162 – 0.2369( Age Se = = 1.682207 Find the 95 % confidence interval for the average number of sick days an employee will take per year, given the employee is 26. Round your answer to two decimal places. 2.
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Find the value of Pearson r for each pair of numbers then test the significance of their correlation at 5% level including the linear regression equation. Interpret your result. m 100 129 160 100 120 125 135 159 160 n 33 44 21 55 10 20 25 30 34
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (The pair of variables have a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The table below shows the heights (in feet) and the number of stories of six notable buildings in a city. Height, x Stories, y 758 621 518 510 492 | 483 | 51 47 46 43 39 36 Find the regression equation. y = ☐ X+ (a) x = 503 feet (c) x = 802 feet (b) x = 649 feet (d) x = 728 feet (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
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A physician wishes to know whether there is a relationship between a father’s weight (in pounds) and his new born sons’ weight (in pounds). The data are given here Fathers Weight 176 145 187 210 196 142 205 215 152 145 Sons Weight 6.6 8.2 9.2 7.1 8.8 9.3 7.1 8.6 7.8 6.0 Develop the regression equation for the sample Predict the sons weight based on the father’s weight of 300, 250 and 400.

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