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# Regression Analysis

### Correlation Matrix for football team's season ticket sales, games won, active alumni

I need assistance with entering the following data/variables into SPSS, so I may compute a correlation matrix for the variables and answer the questions below (i.e. a, b, & c). I'm having the most problems with actually "entering the data and building the variables in SPSS", so I primarily need help understanding how to enter th

### Explanation of Various Aspects of Regression Analysis

See the attached file. Nine different students were given version A of a test to determine their knowledge of statistical concepts. The students then took a course in statistical concepts. At the end of the course the students took version B of the same test. You are asked to determine if the course was effective in improving

### How can you tell the strength and direction (positive or negative) of a correlation from looking at a graph?

This is a powerpoint presentation that discusses how lower GDP in parts of the world and in specific countries seems to be indicators of general poverty, shortness of life expectancy of male and female adults, and higher incidencies of infanct mortality. Many in the world may not be aware of the situation and there seems to be

### trend commonly thought to be the most important

Why is the trend commonly thought to be the most important component of forecasting? How is the linear trend method related to linear regression? Why are simple moving averages and weighted averages commonly used forms of forecasting?

### Statistics: correlations and regression analysis; can you use advertising budget to predict sales?

Discuss the relationship between independent and dependent variables with regard to correlation and regression analysis. Please explain which parts of the regression equation correspond to the independent and dependent variables. Then use the data set below to answer the questions from your boss below. Newspaper Advertisin

### Correlation and Regression Hypothesis Test

A regional commuter airline selected a random sample of 25 flights and found that the correlation between the number of passengers and the total weight, in pounds, of luggage stored in the luggage compartment is 0.94. Using the .05 significance level, can we conclude that there is a positive association between the two variables

### Statistics 10 problems: Hypothesis test, ANOVA, Chi square, regression, forecasting

See attached file for proper format. 1. [2%] ONE SAMPLE HYPOTHESIS TEST FOR MEAN: A bowler who has averaged 196 pins in the past year is asked to experiment with a ball made of a new kind of material. If he rolls 25 games with the new ball, averaging 204 pins with a standard deviation of 24.9, can one conclude at a level

### Statistics Time-Series Forecasting problems: 16.7, 16.13, 16.15, 16.47

See attached data files. 16.7 The following data (stored in Treasury) represent the three-month Treasury bill rates in the U.S. from 1991-2008: Year Rate 1991 5.38 1992 3.43 1993 3.00 1994 4.25 1995 5.49 1996 5.01 1997 5.06 1998 4.78 1999 4.64 2000 5.82 2001 3.40 2002 1.61 2003 1.0

### Find the square data regression line for the included data.

Using a computer software, find the least square data regression line for data below. Based on the F test, is there a statistically significant relationship between the first grade and the final grade of the students. Regression ________________________________________ Student 1 2 3 4 5

### Statistics problems 14.5, 14.7, 14.25, 14.41, 14.43, 14.49, 16.7, 16.13, 16.15, 16.47

See attached word file for proper format of tables. See attached data files. Multiple Regression & Time-Series Forecasting 14.5 A consumer organization wants to develop a regression model to predict mileage (as measured by miles per gallon) based on the horsepower of the car's engine and the weight of the car (in pounds)

### What are the requirements that must be met for a regression analysis?

What are the requirements that must be met for a regression analysis? What happens if these requirements are violated? Why is analysis of residuals important?

### Difference in independent and dependent variables; Sample correlation coefficient; Does a regression model imply causation?

What is the difference between an independent and a dependent variable? What is sample correlation coefficient? Does a regression model imply causation? Explain why or why not.

### Statistics Problems 14.7, 14.25, 14.41, 14.43, 14.49

See attached files. 14.7 The business problem facing the director of broadcasting operations for a television station was the issue of standby hours (i.e. hours in which unionized graphic artists are paid but are not actually involved in any activity) and what factors were related to standby hours. The study included the foll

### Regression Analysis

A consumer organization wants to develop a regression model to predict mileage (as measured by miles per gallon) based on the horsepower of the car's engine and the weight of the car (in pounds). Date were collected from a sample of 50 recent car models, and the results are organized and stored in Auto. a. State the multiple

### Regression and Correlation Analysis

For the following data on 10 persons, construct a scatterplot showing the relationship between age and number of children, and describe the relationship in verbal terms. Person (i) Age(X) Number of Children (Y) 1

### Simple Linear Regression Analysis - Correlation Coefficient

Q: A very broad consensus has emerged around the proposition that global warming is a reality with likely serious global consequences. Moreover, while there is still not unanimity that is desirable to cut emissions from coal and petroleum. Finally, many energy economist and political leaders are advocating a multipronged approac

### Statistics Problems 12.5, 12.15, 12.23, 13.7, 13.9, 13.17, 13.39, 13.41, 13.47, 13.51

See attached file. Problems 12.5, 12.15, 12.23, 13.7, 13.9, 13.17, 13.39, 13.41, 13.47, 13.51 12.5 A sample of 500 shoppers was selected in a large metropolitan area to determine various information concerning consumer behavior. Among the questions asked was, "Do you enjoy shopping for clothing?" The results are summarize

### Regression analysis for data on lettery, education, age, children

See attached data file. 3. Attached you will find the excel data and analysis on the topic of 'playing the lottery'. It is often claimed that individuals who play the lottery are those who can least afford to do so, making the impact of the lottery 'regressive'. In this context, regressive implies that lower income indivi

### Regression & correlation: Turbidity level and accumulated rainfall

In a water treatment plant, the turbidity level is suspected to be linearly related to the inches of accumulated rainfall in the month, x. The following information related to the waste water plant is available: Turbidity Level 1 2 3 4 5 6 Inches of Water 5.6 4.6 4.5 3.7 3.2 2.7 a. Find the equation of the line using t

### Statistics Problems: 12.5, 12.15, 12.23, 13.7, 13.9, 13.17, 13.39, 13.41, 13.47, 13.51

See attached file for proper format. Ten Statistics Problems 12.5 A sample of 500 shoppers was selected in a large metropolitan area to determine various information concerning consumer behavior. Among the questions asked was, "Do you enjoy shopping for clothing?" The results are summarized in the following contingency tab

### Data Analysis Project: Use graphs, regression analysis, and hypothesis tests to determine (among other things) if men spend more money purchasing vehicles than women

See the attached data. Below is a breakdown of what exactly to use: -One set of bivariate data -we will be using the original cost of the vehicle compared to the current value. -Two or more set from different population- We select population of males and females and plan to use these two population to determine who sp

### Chi-square Test, Regression Analysis and Correlation

See file attached for proper format of tables. 12.5 A sample of 500 shoppers was selected in a large metropolitan area to determine various information concerning consumer behavior. Among the questions asked was, "Do you enjoy shopping for clothing?" The results are summarized in the following contingency table: Enjoy Shop

### Statistics: Multiple regression model. Write the least squares regression equation.

Please solve the exercise below: Consider the following partial computer output for a multiple regression model. Predictor Coefficient Standard Deviation Constant 41.225 6.380 X1 1.081 1.353 X2 -18.404

### Dummy variables in regression

When using dummy variables in a regression equation to model a qualitative or categorical variable, the number of dummy variables should equal to a. one less than the number of categories. b. one more than the number of categories. c. the number of categories. d. the number of other independent variables in the model

### What makes a good regression model?

A good regression model should have a. a low r2 and a low significance level for the F-test. b. a high r2 and a high significance level for the F-test. c. a high r2 and a low significance level for the F-test. d. a low r2 and a high significance level for the F-test.

### Completing a Regression Analysis

See the attached file for proper formatting. Please solve the exercise below in Excel and show your work, along with the formulas. Scenario: A local tire dealer wants to predict the number of tires sold each month. He believes that the number of tires sold is a linear function of the amount of money invested in advertising.

### Statistics : Point estimate, least squares regression line, variables, regression analysis

Please select the correct answer and state briefly why: 11. The point estimate of the variance in a regression model is A. SSE B. b0 C. MSE D. b1 12. The least squares regression line minimizes the sum of the A. Sum of Differences between actual and predicted Y values B. Sum of Squared differences between actual an

### Regression

8. U.S. News & World Report publishes the average starting salary and the average GMAT score for MBA graduates at each of the top 80 ranked schools in the country. The data fit the following regression line: Y = 288X - 111,408 where X is the average GMAT score for students at a school and Y is the average starting salary for gr

### Statistics, equation of regression line, interpretation of regression line

7. Store records show that people who live closer to a store tend to purchase more. The relationship between the distance to the store in miles (X) and the amount a customer spends over the year in dollars (Y) fits the following regression line: Y = -100 X + 1000. If a customer lives 7 miles from the store, what is the predicte

### Regression analysis: Assessed value of small medical office buildings

Using Data set C, complete the template provided in the Excel file attached. Regression analysis: Assessed value of small medical office buildings obs assessed floor offices entrances age freeway 1 1796 4790 4 2 8 0 2 1544 4720 3 2 12 0 3 2094 5940 4 2 2 0 4 1968 5720 4 2 34 1 5 1567 3660 3 2 38 1 6 1878 5000 4 2 31