Political Causes of the Great Depression

Math 533 Part C Essay - 2020 Words

August 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 relationship between CREDIT BALANCE and SIZE. * Determine the coefficient of correlation. Interpret. * Determine the coefficient of determination. Interpret. * Test the utility of this regression model (use a two tail test with ÃŽ ± =.05).†¦show more content†¦The p-value is less than .05 so we would reject the null hypothesis. 6. Based on findings from questions 1-5 we can conclude that the relationship between credit balance and size is linear with positive correlation. That is model is useful for predicting the credit balance using the variable size as a independent variable. 7. 95% confidence interval. (300.788, 505.655). This means that we can say with 95% confidence that the true value of the slope will be between (300.788, 505.655) 8. The 95% confidence interval for the mean credit balance for a customer that has a household size of 5 is (4368.2, 4846.9). The predicted value of the credit balance of a customer that has a household size of 5 is $4607.5. This confidence interval means that with 95% confidence, we can say that the true value of the mean credit balance for a customer that has a household size of 5 will be within the interval ($4368.2, $4846.9) Taken from minitab: Predicted Values for New Observations New Obs Fit SE Fit 95% CI 95% PI 1 4607.5 119.0 (4368.2, 4846.9) (3337.9, 5877.2) Values of Predictors for New Observations New Obs Size 1 5.00 9. The 95% confidence interval for the mean credit balance for a customer that has a household size of 10 is (5927.0, 7320.4). The predicted value of the credit balance for a customer that has a household size of 10 is $6623.7. This confidence interval meansShow MoreRelatedMath 533 Part C1131 Words   |  5 Pagesï » ¿ 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. 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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. 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Cystic Fibrosis and CFTR Free Essays

Organelles can contribute or cause a disease like Cystic Fibrosis. First the organelle itself may be defective because its molecules do not function well or because there has been damage to it by exposure to some harmful substance such as a chemical. Within the endoplasmic reticulum or ER where the synthesis of this protein occurs there may be a disturbance in the functions. We will write a custom essay sample on Cystic Fibrosis and CFTR or any similar topic only for you Order Now Normally the proteins are coded within the ER for normal production and functioning of CFTR. It he protein is misfolded during the processing a disease like Cystic Fibrosis may occur. The belief is that the PH of the CFTR protein is altered and because of this PH changes the surface tension of the CFTR changes. That change in surface tension changes the trafficking of the protein and mucus causing thicker mucus to get trapped in several organs but mostly in the lungs and pancreas. Because the surface tension is changed it becomes nearly impossible for the patient to move the mucus there for it accumulates in the lungs and is very sticky. Bacteria more easily bind to the sticky protein causing consistent infections in the lungs. The missing or defective membrane proteins that are causing the CF become the reason why there are so many increased secretions but the worst of the problem is that with the change in the PH, the consistency of the secretions have changed and the person with the CF can just not handle them. That with the increased infections and the fact that this continues to happen throughout the other organs causes the patient to be extremely debilitated with the chance of early loss of life. How to cite Cystic Fibrosis and CFTR, Papers