Purchase Solution

Multiple regression

Not what you're looking for?

Ask Custom Question

Recall that in Exercise 45 the personnel director for Electronics Associates developed the following estimated
regression equation relating an employee's score on a job satisfaction test to length of service and wage rate.

Y = 14.4 minus 8.69 x1 minus 13.5 x2

Where

X1 = length of service in years
X2 = wage rate in dollars
Y= job satisfaction test score (higher scores indicate greater job satisfaction)

A portion of the Minitab computer output follows.

Predictor Coef StDev t-ratio
Constant 14.448 8.191 1.76
X1 1.555
X2 13.517 2.085

S = 3.773 R-sq ______% R-sq (adj) = __%

Analysis of Variance

Source DF SS MS F
Regression 2 ____ ____ ____
Error ____ 71.17 _____ ____
Total 7 720.0

a. Complete the missing entries in this output.
b. Compute F test using level of significance = .05 to see whether a significant relationship is present.
c. Did the estimated regression equation provide a good fit to the data on employees Explain.
d Use the t test and level of signficance =.05 to test H0: b1 = 0.

Purchase this Solution
Solution Summary

Completes the missing entries of a multiple regression output. Uses F and t tests to see whether a significant relationship is present.

Purchase this Solution
Free BrainMass Quizzes
Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

View More Free Quizzes
Related BrainMass Solutions

  • Simple Linear Regression and Multiple Regression.

    357632 Simple Linear Regression and Multiple Regression. Simple Linear Regression and Multiple Regression. I'd like to ask whether you think multiple regression (the use of more IV's) is always better than simple regression? Why or why not?

  • Multiple Regression

    Multiple regression wouldn't be useful in this scenario (although you could do multiple simple regression analyses or multiple correlation analyses).

  • Develop a multiple linear regression model & compare

    414052 Develop a multiple linear regression model and explain how does this compare with simple regression. Develop a multiple linear regression model.

  • Purpose and interpretation of multiple regression analysis

    How is the strength of multiple regression measures of association determined? Purpose of Multiple Regression Regression analysis examines the relationships among variables.

  • Multiple Regression Analysis and Least Squares Regression

    153985 Multiple regression analysis and least squares regression I understand how to apply least squares regression to produce an estimated regression equation when a single variable is involved.

  • Multiple Regression of Lumber Prices and Number of Housing

    235101 Multiple Regression of Lumber Prices and Number of Housing Using this sample problem, compute the multiple regression formula using the interest rates, lumber prices, and number of housing starts provided below.

  • Data Analysis: Multiple Regression

    My assignment for this week is to show some understanding of multiple regression.

  • Design of Experiments

    468988 Design of Experiments or Multiple Regression Why would you want to use Design of Experiments rather than Multiple Regression? In other words, what situations are more suited for DOE and which ones more suited to Multiple Regression?

  • Multiple Regression From Workplace

    109307 Multiple Regression From Workplace One of the major uses of multiple regression models is in forecasting a Y value given certain values of the independent X variables.

  • Statistics: Multiple regression equation and ANOVA

    364058 Statistics: Multiple regression equation and ANOVA Please help with the following problem See attached data file.

View More Related Solutions