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Regression Analysis

Quadratic Regression Model

Please see attached file. A quadratic regression model is fit to a set of sample data consisting of 6 pairs of data. Given that the sum of squares of residuals is 18.17 and that the y-values are 11, 14, 19, 22, 26, 27, Find coefficient of determination R^2

Correlation and linear regression

1. The linear correlation coefficient of a set of data points is 0.846. a. Is the slope of the regression line positive or negative? Explain your answer. b. Determine the coefficient of determination 2. Obtain the linear correlation coefficient x= 1,1,5,5 y= 1,3,2,4 3. A random sample of 10 stu

Regression Equations & SSE/SSR

1. x= 1, 1, 5, 5 y= 1, 3, 2, 4 The regression equation is y = 1.75 + 0.25x 2. What can you say about SSE, SSR, and the utility of the regression equation for making predictions if a. r^2 = 1 b. r ^2 = 0?

Regression for Equestrian Estate

1. Regarding a scatter diagram a. identify one of its uses. b. what property should it have to obtain a regression line for the data? 2. Line A: y= 1.5 + 0.5x Line B: y= 1.125 + 0.375x x = 1, 1, 5,5 y= 1,3,2,4 3. Hanna Properties specializes in custom-home releases in the Equestrian Estates, an exclusive subdivisio

Questions Regarding Regressions

You are interested in the prediction of apartment rent from square footage. You sample 25 apartments in the Glendale area and record the apartment rent costs and square footage. When you put this into Excel, you get the following output: Regression Analysis Regression Statistics Multiple R 0.850060796 R Sq

Regression analysis on AIU job satisfaction database

If needed, feel free to review the following website: Your final report needs to be compiled with regard to the results of the survey. Your final report will need to include the following: 1. In Unit 3 you tested 2 different sets of hypothesis using the database from Uni

Description of Regression problem

Mr. James McWhinney, president of Daniel-James Financial Services, believes there is a relationship between the number of client contacts and the dollar amount of sales. To document this assertion, Mr. McWhinney gathered the following sample information. The X column indicates the number of client contacts last month, and the Y

Multiple Regression Analysis

1. Maria Gomez, a research analyst in the state department of health, has undertaken a study of the possible consequences of overbuilding hospital facilities. One aspect of the study has been to calculate the effect of available hospital beds on length of patient stays. She has gathered data from 50 areas in the US; including

Modeling, Regression, and General Statistics

There are 7 questions pertaining to modeling, regression, and general stats. I am looking for input where my answers are incorrect or where you feel additional input would help. 1. Whenever r is calculated on the basis of a sample, the value which we obtain for r is only an estimate of the true correlation coefficient which

10 questions pertaining to modeling, regression, & Excel

There are 10 questions pertaining to modeling, regression, and general stats. I am looking for input where my answers are incorrect or where you feel additional input would help. 1. The regression coefficient is most likely a useful predictor if its value is equal to zero a. True b. False. My guess is True 2. The su

Regression questions. Questions are multiple choice and True/False.

There are four questions that pertain to basic stats and model building. 1. A dummy variable: a. is useless in building models b. is always given a value of 1 c. is not useful in modeling categorical variables d. has only two possible values 0 (zero) or 1. 2. A horizontal regression line has a special signifi

Understanding business drivers and improving business forecasts

A high-end market research firm has contacted your boss and is trying to sell some business to your organization. Upper management does not want to appear incompetent, so they have asked you to research and explain three major ways multivariate statistics are used in a business. Provide at least 1 example of how a real compan


A real estate builder wishes to determine how house size (house) is influenced by family income (income), family size (Size) and education of the head of household (School) . House size is measured in hundreds of square feet, income is measured in thousands of dollars, and education is measured in years. The builder randomly

Variables: Solution set

You decide to predict gasoline prices in different cities and towns in the U.S. for your term project. Your dependent variable is price of gasoline per gallon and your explanatory variables are per capita income, the number of firms that manufacture automobile parts in and around the city, the number of new businesses starts in

Business / Managerial Accounting - Please select ONLY: a,b,c, or d.

................................................................................................... Business / Managerial Accounting - Please select ONLY: a,b,c, or d. ................................................................................................... * What is the purpose of regression analysis? a. To

Regression Analysis

See attached file for full problem description. A. What is the sample size? B. Compute the value of R2. C. Compute the multiple standard error of estimate. D. Conduct a global test of hypothesis to determine whether any of the regression coefficients are significant. Use the .05 significance level. E. Test the regressio

Simple regression analysis

2a. Perform a simple regression analysis to forecast the number of apartment units leased, based only on average lease price. What is your forecast if the lease price is to be $455? Semester Average lease price x Number of Units leased y X^2 xy Y^2 1 450 291 202500 130950 84681 2 460 228 211600 104880 51984 3 450 252 20

Using statistics to make inferences on behaviour

16. Does a heavier bowler knock down more pins? Jim Samuels, manager of Maple Lanes, asked 15 men's league players to report their body weight (lb.) and their league average, rounded to the nearest pin. Results are shown in the table attached. Make sure you include your chart and calculations from excel as a part of your a

Stats questions:ANOVA, Regression Analysis and Hypothesis testing

4. Generations of athletes have been cautioned that cigarette smoking retards performance. One measure of the truth of that warning is the effect of smoking on heart rate. To examine this impact, six of each of non-smokers, light smokers, moderate smokers, and heavy smokers undertook sustained physical exercise. Their heart

Advertising Expenditures and Coffee Time's Price Index

Laura wanted to build a multiple regression model based on advertising expenditures and Coffee Time's price index. Based on the selection of all normal values, she obtained the following: Multiple R = 0.738 R-Square = 0.546 By using lagged values, she came up with the following: Multiple R = 0.755 R-Square = 0.570

Mike Wilde is president of the teachers' union for Otsego School District...

(See attached file for full problem description) 14.16 Mike Wilde is president of the teachers' union for Otsego School District. In preparing for upcoming negotiations, he would like to investigate the salary structure of classroom teachers in the district. He believes there are three factors that affect a teacher's salary:

Regression testing - need made up numbers

I need to use this information to create numbers (imaginary numbers) and perform regression testing. Surveys carried out by a manager for assessing overall ratings of employees, in the form of marks out of 100 for each attribute. Attributes (the variables) might include handling of employee complaints assessing employee pay r

Statistic - Regression

A regression equation regarding repair cost of car. The repair cost is the dependent variable and the age of the car is the independent variable. The situation is that as the age of the car increases, the repair cost increases also. The regression equation is Y'= $80 + 20X 1. What is "20" means in the equation? 2. What