Purchase Solution

Solving a regression analysis

Not what you're looking for?

Ask Custom Question

Part 1
Work through a simple regression calculation using intrinsic job satisfaction and extrinsic job satisfaction. Select thirty data points from the attached Data Set to use for each group. You are also welcome to decide which group you want to make the dependent variable and which the independent variable. The final answer will then be a complete model equation resembling: Y = bx + a

Part 2
Work through a second simple regression by switching the dependent and independent variables used in the first regression. Make very specific comments and give reasons regarding any similarities or differences in Multiple R and the ANOVA coefficients.

Attachments
Purchase this Solution
Solution Summary

Solution provides detailed explanation of how to solve a regression analysis. Expert provides equations, along with explanations.

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.

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.

Measures of Central Tendency

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

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

View More Free Quizzes
Related BrainMass Solutions

  • Use of regression analysis to estimate demand

    310986 Regression Analysis A multiple regression analysis based on a data set that consists of 30 observations yielded the following estimated demand equation: Q = 120 - 1.1P + 0.04 I + 0.90 A Where P is price, I is income, and A is advertising

  • Regression

    Solving the above equalities we can get the coefficients a and b. Now we use a software to get the regression equation is Y=0.000080427X+154.484. You can use this equation to do some predictions.

  • Linear Regression height vs. weight

    How might your analysis of this data be used to improve organizational outcomes or be used in problem solving or decision-making for your organization? Hello, Please see attached for solutions.

  • Solving for Coffee Demand Using Regression Analysis

    475168 Solving for Coffee Demand Using Regression Analysis This is a portion of the solution.

  • Regression analysis

    ( = -3) Given that = -3 , Solving for x, we have x =(-3-1.3479)/0.3978= -10.9299 b) True or False. Regression Analysis attempts to minimize the mean square error.

  • Theory, analysis and interpretation of regression

    How do they impact your regression equation? Linear Algebra describes a very powerful method of solving linear equations by matrix method.

  • Regression Analysis

    My conclusions: There very well might be a relationship between price and earnings. However, there is not enough data to determine if there is such a relationship. This solution provides assistance solving the regression analysis problem below.

  • Treating patients who are phobic and afraid to leave

    It uses Excel for solving the linear regression problem and for producing associated charts.

  • Regression of yearly truck maintenance expenses

    Regression of yearly truck maintenance expenses are analyzed. The solution uses excel to analysis the data.

View More Related Solutions