Math 533 Part C - 1131 Words

PROJECT PART C: Regression and Correlation Analysis Math-533 Applied Managerial Statistics Prof. Jeffrey Frakes December 12, 2014 Jared D Stock 1. Generate a scatterplot for income ($1,000) versus credit balance ($), including the graph of the best fit line. Interpret. This scatter plot graph is a representation of combining income and credit balance. It shows the income increasing as the credit balance increases. As a result of this data it can be inferred that there is a positive relationship between the two variables. Because of the positive relationship between income and credit balance the best fit line or linear regression line fits the data quite well. The speculation can be strongly made that the†¦show more content†¦A customer with a $10,000 credit balance is, more than likely, going to have an income of $115,748.27. That is according to the fitted regression model. In an attempt to improve the model, we attempt to do a multiple regression model predicting income based on credit balance, years, and size. 11. Using MINITAB, run the multiple regression analysis using the variables credit balance, years, and size to predict income. State the equation for this multiple regression model. Regression Analysis: Income($1000) versus Credit Balance($), Size, Years The regression equation is Income($1000) = - 13.2 + 0.0108 Credit Balance($) + 0.615 Size + 1.21 Years Predictor Coef SE Coef T P Constant -13.186 3.608 -3.65 0.001 Credit Balance($) 0.0107922 0.0008184 13.19 0.000 Size 0.6151 0.4178 1.47 0.148 Years 1.2097 0.2322 5.21 0.000 S = 5.26121 R-Sq = 86.5% R-Sq(adj) = 85.6% Analysis of Variance Source DF SS MS F P Regression 3 8171.7 2723.9 98.41 0.000 Residual Error 46 1273.3 27.7 Total 49 9445.0 Source DF Seq SS Credit Balance($) 1 6052.7 Size 1 1368.0 Years 1 750.9 The fitted regression line: Income = -13.186 +0.0107922* Credit Balance + 0.6151* Size + 1.2097*Years. 12.Show MoreRelatedMath 533 Part C Essay2020 Words   |  9 PagesAugust 26, 2012 MATH 533 Course Project Part C Professor Khago Introduction: The following report displays regression and correlation analysis for AJ Davis Department Stores data on credit balance and size. We will use the data collected from 50 credit customers to complete the following analysis; * Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the best fit line. Interpret. * Determine the equation of the best fit line, which describes the relationshipRead MoreThe Goals of Junior Reserve Officers Training Corps1483 Words   |  6 Pageslives of its students, it is first necessary to elucidate the history of this program, which was implemented on a nationwide level in 1916 yet had individual components as far back as the latter portion of the 19the century (Pema and Mehay, 2009, p. 533). 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There is a slight positive relationship between credit balance and size The regression equation is Credit Balance ($) = 2591 + 403 Size 3. Determine theRead MoreAj Davis Department Stores1219 Words   |  5 PagesAJ Davis Department Stores - Project Part A, B, and C Stacie Borowicz June 14, 2013 Math 533 Project Part A – Exploratory Data Analysis Credit Balance ($) Based on a sample of 50 customers, the credit balance for customers of Davis Department stores is on average $3970.00. Based on the graph, 18 of the 50 sampled fall below and 17 fell above the average. The standard deviation for credit balance is 931.9. Income Annual Income of Davis Department Stores customers range anywhereRead MoreMath 533 Part B1210 Words   |  5 Pagesï » ¿ PROJECT PART B: Hypothesis Testing and Confidence Intervals Math-533 Applied Managerial Statistics Prof. Jeffrey Frakes December 8, 2014 Jared D Stock A.) The average (mean) annual income was greater than $45,000 Null Hypothesis: The average (mean) annual income is greater than or equal to $45,000. Ho: u $45,000 Alternative Hypothesis: The average (mean) annual income was less than $45,000 Ha: u $45,000 I will use a = .05 as the significance level, andRead MoreKeller Math 533 Project Part B1734 Words   |  7 PagesMath 533 Project Part B In regards to the dataset from AJ Department store, your manager has speculated the following: the average (mean) annual income is less than $50,000, the true population proportion of customers who live in an urban area exceeds 40%, the average (mean) number of years lived in the current home is less than 13 years, the average (mean) credit balance for suburban customers is more than $4300. Part 1. Using the sample data, performRead MoreEssay about Equal Gender Representation in The Gaming Franchise2431 Words   |  10 Pagesbeloved by their followers that the annual Entertainment Software Association reports the gaming industry at an estimated $17 billion dollars franchise; globally that number increases to $67 billion of which 48% is female and 52% male. Females are also part of the gaming population, representing 47% while the males represent 53% (E.S.A., 2012). This means that both males and females support the gaming industry, as well as production of their products, both financially and through its use; although, theRead MoreMgmt 5331840 Words   |  8 PagesMATH 533(Applied Managerial Statistics) Project AJ Davis Department Stores; Part C: Regression and Correlation Analysis Using MINITAB perform the regression and correlation analysis for the data on CREDIT BALANCE (Y) and SIZE (X) by answering the following. 1. Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the best fit line. Interpret. Scatterplot of Credit Balance($) vs Size 6000 5000 Credit Balance($) 4000 3000 2000 1 2 3 4 Size 5 6 7 TheRead MoreEvolution of Microprocessor6966 Words   |  28 Pagesmegabyte MCS-86 Family * 8086-CPU [3] * 8087-Math-CoProcessor [4] * 8088-CPU * 8089-Input/Output Co-Processor [5] * 8208-Dynamic RAM Controller [6] * 8284-Clock Generator Driver [7] * 8286-Octal Bus Transceiver * 8287-Octal Bus Transceiver * 8288-Bus Controller [8] * 8289-Bus Arbiter [9] * 80130-iRMX 86 Operating System Processors [10] * 80186-CPU [11] * 80188-CPU [12] * 80286-CPU [13] * 80287-Math-Coprocessor [14] * 82050-Communication Controller