Purchase Solution

Linear Regression

Not what you're looking for?

Ask Custom Question

1. Refer to the Real Estate data, which reports information on homes sold in Venice, Florida, last year (see attached spreadsheet). Let selling price be dependent variable and size of the home the independent variable.
a. Determine the regression equation.
b. Estimate the selling price for a home with an area of 2,200 square feet.
c. Determine the 95% confidence interval.
d. Determine the 95% prediction interval for the selling price of a home with 2,200 square feet.

Attachments
Purchase this Solution
Solution Summary

The solution contains the fitting of regression equation to the given set of data and determination of 95% confidence and prediction interval for the response variable...

Solution Preview

Please see the attachment for solution. If you need any further clarification please ask to me.

Regression Analysis

r² 0.138 n 105
r 0.371 k 1
Std. Error 43.955 Dep. Var. Price

ANOVA table
Source SS df MS F p-value
Regression 31,770.2044 1 31,770.2044 16.44 .0001
Residual ...

Purchase this Solution
Free BrainMass Quizzes
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.

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.

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.

  • 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.

  • 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?

  • Regression analysis and simple linear regression

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

  • 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.

  • 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?

  • Linear long-term trend.

    125118 Linear long-term trend. If a long-term trend is linear, how can regression analysis be adjusted to make business decisions? Regression analysis fits the least squares line to available data.

View More Related Solutions