Purchase Solution

Linear regression

Not what you're looking for?

Ask Custom Question

A linear regression between Y and X produced the following equation for the least squares line:
= -4.13 + 2.1x
Which of the following statements concerning this relationship is true?
a.For every one-unit increase in X, Y increases 4.13 units.
b.For every one-unit increase in X, Y decreases 2.1 units.
c.For every one-unit increase in X, Y decreases 4.13 units.
d.For every one-unit increase in X, Y increases 2.1 units.

Purchase this Solution
Solution Summary

The solution provides a comprehensive answer to the question going into a lot of details. The solution satisfies all the requirements of the question.

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.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

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.

View More Free Quizzes
Related BrainMass Solutions

  • Relationship of Linear Regression & Correlation

    622757 Relationship of Linear Regression & Correlation When is it appropriate to use linear regression? What is the relationship between linear regression and correlation?

  • Discuss the definition of linear regression

    595859 Discuss the definition of linear regression What is linear regression? Can you give an example? Answer: linear regression is a tool to check the relationship between two variables.

  • simple linear regression models

    169332 simple linear regression models Develop simple linear regression models for predicting Games Won as a function of each of the independent variables in the 2000 NFL Data.xls worksheet individually.

  • Simple Linear Regression and Multiple Regression.

    Simple Linear Regression and Multiple Regression.

  • Simple Regressions and Multiple Regressions

    How is regression used to generate prediction equations in SPSS? How are prediction equations used to make predictions? What is multiple linear regression? How are predictions made using multiple linear regression equations?

  • Advantages of Linear Regression in Complex Situations

    330240 Advantages of Linear Regression in Complex Situations How does a linear regression allow us to better estimate trends, costs, and other factors in complex situations? Linear regression estimates the line of best fit for any given data.

  • Regression analysis and simple linear regression

    The following results were obtained as part of a simple linear regression analysis. MSE = 25.485.

  • ABC Furniture Company Linear Regression

    626456 ABC Furniture Company Linear Regression See Attached Background: Linear Regression Forecasting and Decision Trees Why is Forecasting important? How can we use Linear Regression as a forecasting method?

  • Theory, analysis and interpretation of regression

    Since in regression we need to solve for the coefficients of the regression line, matrix method can be used to this end. In this way, linear algebra can help perform linear regression.

  • Linear Regression

    314352 Linear Regression What is the idea behind linear regression? What is it? Why do it? What are some limitations of linear regression? Linear regression is used as a model to a set of data.

View More Related Solutions