We are hiring new housekeeping staff. We are interested in predicting how long we can expect our new hires to remain with the company based on their age when we hire them. Below, see the records of previous employees that we hired and how long they stayed with the company. Age at hire Years with Company 22 17 19 10 30 10.5 31 11 32 15 45 6 48 11 49 5.2 68 3 65 4.2 Create a scatterplot of this data and comment on the relationship between the variables Calculate the correlation coefficient between these two variables Does a linear relationship exist? Calculate the least squares regression equation Using your equation, predict how long we would expect a 43 year old new hire to remain with the company

We are hiring new housekeeping staff. We are interested in predicting how long we can expect our new hires to remain with the company based on their age when we hire them. Below, see the records of previous employees that we hired and how long they stayed with the company. Age at hire Years with Company 22 17 19 10 30 10.5 31 11 32 15 45 6 48 11 49 5.2 68 3 65 4.2 Create a scatterplot of this data and comment on the relationship between the variables Calculate the correlation coefficient between these two variables Does a linear relationship exist? Calculate the least squares regression equation Using your equation, predict how long we would expect a 43 year old new hire to remain with the company

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.1: Measures Of Center

Problem 9PPS

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