1- A farmer wanted to find the relationship between the amount of fertilizer used and the yield of corn. He selected seven acres of his land on which he used different amounts of fertilizer to grow corn. The following table gives the amount (in pounds) of fertilizer used and the yield (in bushels) of corn for each of the seven acres.

a. With the amount of fertilizer used as an independent variable and yield of corn as a dependent variable, compute SSxx, SSyy, and SSxy. b. Find the least squares regression line.
c. Interpret the meaning of the values of a and b calculated in part b. d. Calculate r and r2 and explain what they mean.
e. Compute the standard deviation of errors.
f. Predict the yield of corn per acre for x = 105.
g. Construct a 98% confidence interval for ß.
h. Test at the 5% significance level if ß is different from zero....

...Quick Stab Collection Agency: A RegressionAnalysis
Gerald P. Ifurung
04/11/2011
Keller School of Management
Executive Summary
Every portfolio has a set of delinquent customers who do not make their payments on time.
The financial institution has to undertake collection activities on these customers to recover the
amounts due. A lot of collection resources are wasted on customers who are difficult or
impossible to recover. Predictive analytics can...

...slopes of the data in the periods before and after 911 were discovered and both periods are used. The data matches the usual modeling assumptions and thus, results are to be expected to be interpreted without contradictions.
HD' Market Rating Analysis (MRA):
Jensen's Alpha ( ) was largely in the positive range. Therefore, Home Depot return was greater than the S&P return and HD outperformed the market. Beta ( ) was in the range of [1,1275959 to 1,0648879] and thus contained...

...CWRU
Regression Project Report
OPRE 433
Tianao Zhang 12/5/2011
Introduction
According to the data I’ve received, there are 6578 observations. The data base is composed by 13 columns and 506 rows. All the explanatory variables are continuous as well as the dependent variable and there are no categorical variables. My goal is to build a regression model to predict the average of Y or particular Y by a given X. 1. Do the regression...

...
Data Analysis
Descriptive Statistics, Estimation, Regression & Correlation
Treatment Effects of a Drug on Cognitive Functioning in Children with Mental Retardation and ADHD
Hossam Elhowary
MATH-1016-15
Dr. Maria DeLucia
December 09, 2014
Introduction
The purpose of this survey was to investigate the cognitive effects of stimulant medication in children with mental retardation and Attention-Deficit/Hyperactivity Disorder. Twenty four children were given...

...Statistical Analysis for Quick Stab Collection Agency
Executive Summary
The purpose of the paper is to provide a statistical analysis of overdue bills for Quick Stab Collection Agency (QSCA). The data will be taken from accounts closed over a six month period. The goal is to determine if a correlation between the type of account, the amount of the bill and the days to collection exists. To determine the existence of a correlation, regression...

...sample proportions:
Resulting test statistic for difference between proportions:
Chapter 10 RegressionAnalysis: Estimating Relationships
Formula for Correlation:
Slope in simple linear regression:
Intercept in simple linear regression:
Y is the dependent...

...Article analysis for Revenue Recognition Timing and Attributes of Reported Revenue: The Case of Software Industry’s Adoption of SOP 91-1 by Yuan Zhang
Timing of revenue recognition is a crucial part in revenue recognition. According to US GAAP, revenue should be recognized when it is realized/realizable and earned (FASB, 1984, Para. 83).
However, a number of software firms recognized revenue prior to product delivery or service performance in the past, which potentially...

...RegressionAnalysis (Tom’s Used Mustangs)
Irving Campus
GM 533: Applied Managerial Statistics
04/19/2012
Memo
To:
From:
Date: April 19st, 2012
Re: Statistic Analysis on price settings
Various hypothesis tests were compared as well as several multiple regressions in order to identify the factors that would manipulate the selling price of Ford Mustangs. The data being used contains observations on 35 used Mustangs...