Purchase Solution

Regression

Not what you're looking for?

Ask Custom Question

Bi-lo Appliance Stores has outlets in several large metropolitan areas in New England. The general sales manager plans to air a commercial for a digital camera on selected local TV stations prior to a sale starting on Saturday and ending Sunday. She plans to get the information for Saturday-Sunday digital camera sales at the various outlets and pair them with the number of times the advertisement was shown on the local TV stations. The purpose is to find whether there is any relationship between the number of times the advertisement was aired and digital camera sales. The pairings are:

Location of TV Station Number of Airings Saturday-Sunday Sales ($ thousands)

Providence 4 15
Springfield 2 8
New Haven 5 21
Boston 6 24
Hartford 3 17

1. What is the dependent variable?
2. Draw a scatter diagram.
3. Determine the coefficient of correlation.
4. Determine the coefficient of determination.
5. Interpret these statistical measures.

Purchase this Solution
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 regression using p-value approach

    0.9868 Regression 24 0.6972 Regression 5 0.1257 Regression 15 0.1121 Regression 25 0.7370 Regression 6 0.8685 Regression 16 0.0630 Regression 26 0.5289 Regression 7 0.7201 Regression 17 0.4987 Regression 27 0.3290 Regression 8 0.8586 Regression 18

  • The Difference Between Standardized and Regular Regression Coefficient

    regression line.

  • 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?

  • Example of Bivariate Regression

    335958 Example of Bivariate Regression There is bivariate regression and multiple regression. Provide a business example that you can apply regression to.

  • Regression analysis

    169124 Suppose a regression output produces the following 99% confidence interval for one regression coefficients Suppose a regression output produces the following 99% confidence interval for one regression coefficients: [-32.47,-16.88] Given this

  • 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.

  • Statistics - Bivariate Regression

    This makes multiple regression as easy to handle as bivariate regression.

  • Understanding Regression: Linear Regression, Multiple Regression

    655714 Understanding Regression: Linear Regression, Multiple Regression Part 1 - Understanding Regression Terminology Create a handout for students in an introductory statistics course which summarizes the following regression terms (in your own words

  • Simple and Multiple Regression

    Multiple Regression Analysis * The multiple regression analysis was done similarly as the simple regression analysis (Tools --> Data Analysis --> Regression), but multiple columns of independent variables were entered.

  • Business and Regression Analysis

    The regression output is shown on Regression output sheet. Regression equation is: Science Score = 19.48 +0.8136*Maths Score 3.

View More Related Solutions