Essays Tagged: "Linear Regression"

SAT Scores vs. Acceptance Rates

hrowing out odd data.A scatterplot of the 12 universities data is on the following page (page 2)The linear regression equation is:ACCEPTANCE = 212.5 + -.134 * SAT_SCORER= -.632 R^2=.399I plugged in th ... nd did the various regressions. I saw that the power regression had the best correlation of the non-linear transformations.A scatterplot of the transformation can be seen on page 4.The Power Regressio ...

(3 pages) 142 0 3.5 Nov/1996

Subjects: Science Essays > Mathematics

Statistics assignment

s that were correlated with the ratings and were statistically significant. After several rounds of regressions and correlation analysis the Star and Fact were the best determinants for the model.The ... t method of measuring the success of a movie. The rating is not dependant on the share.I then did a Regression analysis with the remaining factors. I ran several regressions and determined each other ...

(4 pages) 413 0 3.7 Jan/2004

Subjects: Science Essays

Evaluation of Protein Assay Procedures.

n below:The blue-purple Biuret complex produced can be measured at 670 nm. The biuret assay gives a linear correlation between protein concentration and absorbance but lacks sensitivity. It is general ... tual concentration of the protein, it was also found to have quite poor sensitivity. Looking at the Linear Regression Graphs and y=mx of the different samples, it can be seen that they share a similar ...

(10 pages) 124 1 4.8 Jan/2004

Subjects: Science Essays > Biochemistry

Forecasting case, Kwik Lube

2. 1,643,572.Standard Error (denom=n-2=6) 68,301.3828 13. 1,737,381.Regression line 14. 1,831,191.Demand (y) = 517857.2 15. ... kwik LubeQuestion# 1 compute the loss for Kwik Lube stations during the last two years using regression. How accurate can the results claim to be?Question # 2 Was it worth $ 20000 to perform th ...

(2 pages) 153 0 3.3 Sep/2004

Subjects: Businesss Research Papers > Management

Scanner Dataset

statistical tests 12Identification of the best model that should be used for predictive purposes 12Linear Regression 12Discriminant Analysis 13Logistic Regression 17Comments on the variables that are ... 3Logistic Regression 17Comments on the variables that are the best predictors of buying behaviour 19Linear Regression Model: 19Logistic Regression Model: 19What are the marketing strategy implications ...

(25 pages) 145 0 5.0 Nov/2004

Subjects: Businesss Research Papers > Marketing

Quantitative methods of economics.

in a technical classification sense, however are likely to be very similar and have a degree of collinearity so, it may be that one of these variables will have to be dropped, depending upon how larg ... e with the sample size. As for the manufacturing coefficient, the low t-value and predicted multi-colinearity may require the removal of this variable. The pair-wise correlation coefficients to determ ...

(12 pages) 167 0 5.0 Nov/2005

Subjects: Social Science Essays > Economics > Rates & Indexes

Regression Analysis Paper.

ave equal strength, both indicate very strong correlation between the variables.Here is a plot of a linear function fitted to a set of data values. The actual data points are marked with ''blue dots'' ...

(2 pages) 374 0 2.6 Dec/2005

Subjects: Science Essays > Mathematics

PGH Conceptual Physics Lab 43 Report

(2 pages) 16 0 0.0 Mar/2006

Subjects: Science Essays > Physics

Regression Paper

unt of sales dollars or inventory dollars used in 2005 for any independent variable placed into the linear regression equation. Similar regression analyses conducted on previous years establishes comp ... variable of sales dollars in 2005.The ResultsRegression analysis develops an equation to state the linear relationship between inventory dollars and sales dollars. We will use a simple linear regress ...

(6 pages) 825 0 4.3 Apr/2006

Subjects: Businesss Research Papers > Case Studies

Regression Analysis

1053888481185121176161377201578201699221491026202MethodologyGiven the circumstances, "in the simple linear regression model, y is a linear function of x (the β0 + β1 Xi part) plus єi. ... eferred to as the error term"(Anderson, Sweeney & Williams, 2000, pg. 450). To state the simple linear equation succinctly; yi = β0 + β1x + єi. The yi equals the predicted value of ...

(4 pages) 433 0 3.0 Jan/2007

Subjects: Science Essays > Mathematics

Dominion Sales and Inventory issue – Regression Analysis

the amount of sales or inventory dollars used in 2005 for any independent variable placed into the linear regression equation.The first regression analysis question involves estimating the sales doll ... 005.The Results of the analysisRegression analysis resulted in developing the equation to state the linear relationship between inventory dollars and sales dollars. Using a simple linear regression wi ...

(6 pages) 202 0 4.5 May/2007

Subjects: Businesss Research Papers > Marketing

NASDAQ and S&P 500

tatistical tool used to "estimate the value of variable based on the value of another" (Chapter 13: Linear Regression and Correlation, 2007). Researchers have studied the unpredictable stock market an ... ators affect each index and whether or not the same indicators affect both indexes. We did a simple linear regression of the economic indicators listed in the model specification portion of this repor ...

(10 pages) 54 0 0.0 Jan/2008

Subjects: Businesss Research Papers > Management

Regression Analysis         Looking at the answer from the multiple regression

Regression Analysis Looking at the answer from the multiple regression assignment and the handout fr ... n I was looking at the handout from class, I found out that there were, only 12 observations in the regression assignment there were 24 observations. At the end of the assignment, I concluded that all ... of the model. We found out income was the only variable that was significant on the handout. On the regression assignment, all variables were significant to the model.Column by Column Coefficient The ...

(1 pages) 498 0 0.0 Feb/2008

Subjects: Businesss Research Papers > Marketing


]200350250On the basis of the above data forecasting of natural gas for the three months were done. Linear Regression was run in which save command was selected. In the toolbar predicted values of uns ...

(6 pages) 12 0 4.0 Mar/2008

Subjects: Businesss Research Papers > Management > Management Planning & Decision Making

Finding the price of a home using regression

nce interval estimate of a predicted value of the selling price were used. The MegaStat output of a Regression Analysis of the data was used as the foundation to calculate the multiple regression equa ... within the sample. These led to the development of alternative methods such as the simple Multiple Regression analysis.The core idea of a multiple regression analysis is to understand the relationshi ...

(12 pages) 74 0 5.0 Jan/2009

Subjects: Businesss Research Papers

Quantitative Analysis

Figure adapted from: Linear correlation between beta-cell mass and body weight throughout the lifespan in Lewis rats: rol ... bove graph address the questions listed below:(A)For the inset graph: State AND explain whether the linear association depicted is a direct association or an indirect/inverse relationship. What would ... ted is a direct association or an indirect/inverse relationship. What would be a likely range for a linear correlation coefficient for this graph? Explain your reasoning. If given the linear regressio ...

(3 pages) 48 0 0.0 Sep/2009

Subjects: Businesss Research Papers > Management