The personnel director for Electronics Associates developed the following estimatedregression equation relating an employee's score on a job satisfaction to his or her lengthof service (years) (x1) and wage rate (RM per hour) (x2 ) .ŷ = 14.4 – 8.69x, +13.5x,(i)(ii)Interpret the coefficients in this estimated regression equation.Estimate the job satisfaction test score for an employee who has four years ofservice and makes RM6.50 per hour.

(i). Here -8.69 is the coefficient of length of service, interpretation of this coefficient is that…

The personnel director for Electronics Associates developed the following estimated regression equation relating an employee's score on a job satisfaction to his or her length of service (years) (x;) and wage rate (RM per hour) (X2) . ŷ =14.4– 8.69x, +13.5.x, (i) Interpret the coefficients in this estimated regression equation. (ii) Estimate the job satisfaction test score for an employee who has four years of service and makes RM6.50 per hour.

The personnel director for Electronics Associates developed the following estimated regression equation relating an employee's score on a job satisfaction to his or her length of service (years) (x;) and wage rate (RM per hour) (X2) . ŷ =14.4– 8.69x, +13.5.x, (i) Interpret the coefficients in this estimated regression equation. (ii) Estimate the job satisfaction test score for an employee who has four years of service and makes RM6.50 per hour.

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

The personnel director for Electronics Associates developed the following estimated
regression equation relating an employee's score on a job satisfaction to his or her length
of service (years) (x1) and wage rate (RM per hour) (x2 ) .
ŷ = 14.4 – 8.69x, +13.5x,
(i)
(ii)
Interpret the coefficients in this estimated regression equation.
Estimate the job satisfaction test score for an employee who has four years of
service and makes RM6.50 per hour.

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