Purchase Solution

Understanding Regression Analysis: sums of squares

Not what you're looking for?

Ask Custom Question

The variation attributable to factors other than the relationship between the independent variables and the explained variable in a regression analysis is represented by:

a. regression sum of squares.

b. error sum of squares.

c. total sum of squares.

d. regression mean squares.

Purchase this Solution
Solution Summary

Along with the correct answer to this multiple choice question is a brief 132 word explanation of regression sum of squares, error sum of squares and total sum of squares.

Solution Preview

The correct answer is

b. error sum of squares

In a regression analysis, the total sum of squares refers to the total variability in the y variable (the response variable).

The total ...

Purchase this Solution
Free BrainMass Quizzes
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.

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.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

View More Free Quizzes
Related BrainMass Solutions

  • Regression analysis in SPSS

    453821 Regression analysis in SPSS a) Means, sums of squares and cross products, standard deviations, and the correlation between X and Y. b) Regression equation of Y on X. c) Regression and residual sum of squares.

  • Explained and Unexplained variation and the least-squares regression line

    Step by step method for regression analysis is discussed here. Regression coefficients, coefficient of determination, scatter diagram and significance of regression model are explained in the solution.

  • Linear Regression and Correlation Analysis

    As I said, I don't know how to do this in Excel, but if you want to do it by hand, you calculate SSR ( ; the sums of the squares of the predicted y's minus the mean y) and SSE (the error sum of squares; ; the sums of the squares of the actual y's minus

  • Complete regression analysis using ACT score example

    f) Find and interpret the coefficient of determination. g) Determine and interpret the three sums of squares SSR, SSE, and SST.

  • Least-Squares Property and Regression Analysis

    40413 Least-Squares Property and Regression Analysis 1. Describe what a line is that satisfies the least-squares property-what is it and what is the function? (Please share your own way of understanding it). 2.

  • Statistics - Regression - Bivariate Data

    The term "best fits" is used because the line has an equation that minimizes the a)error sum of squares, b)regression sum of squares, c)total sum of squares, which for these data is a)2.3294 b)3.3080 c)0.9353.

  • Multiple regression analysis

    228333 Multiple regression analysis Answer one of your choice: A, B, C, or D A. (a) List two limitations of bivariate regression (in respect to multiple regression.)

  • composite forecast

    of squares of the last six sets of forecast errors.

  • Statistics: Confidence Interval Problem

    The results are shown in the following table: Speed of the Car (in kilometres per hour) (x) Stopping Distance (in metres) (y) 30 11 50 19 60 34 80 52 100 85 110 95 To save calculation time, you can use the following sums and sums of squares

View More Related Solutions