48 percent are able to spend their money on their own, the rest are dependant upon spouses or other family members to take joint decisions on spending. Defining this variable as a measure of empowerment, this analysis investigates correlates of empowerment using logistic regression analysis. The model finds that marital status is the most significant predictor of empowerment in Bangladesh. Unmarried women are six times more likely to be empowered. Secondary education is another major determinant
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overhead costs incurred Factory Overhead is credited to allocate overhead to production Regression Analysis Interpretation of output summary The regression model like that, Here, Y= Cost of production A= Constant b1,b2 &b3= Regression coefficient X1= Direct Materials X2 = Direct Labor X3= Factory overhead From the co-efficient table, the values of a, b1,b2& b3 are found out & the regression model can be written as follows: Y= a+b1x1+b2x2+b3x3 = -6537089.828+.248×1+38.489×2+12
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ABSTRACT Over the course of years with advancement in technology, medical science has developed into a field of continuous research and advancement in mechanisms to improve the health of society. This papers tries to find the relation with a minute but important application of this advancement; Prenatal Care for better growth and development of children. It tackles the question of whether the impact of prenatal care is significant on an infant’s health or not. The data used is a cross-sectional
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CHAPTER ONE INTRODUCTION 1.1. Introduction Have you ever stopped to think about where your electricity comes from? Nowadays, it is no longer only a question of ‘how much electricity do I want to use? However, this type of question which is ‘what kind of electricity do I want to use?’ is also count. In the case of Malaysia, most of the electricity is generated by burning coal and gas in power stations. These types of activities eventually will give such a negative impact towards the
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Discriminant Function Analysis undertakes the same task as multiple linear regression by predicting an outcome. However, multiple linear regression is limited to cases where the dependent variable an interval variable. Discriminant analysis is a technique for analyzing data when the criterion or dependent variable is categorical and the predictor or independent variables are interval in nature. In many cases dependent variable consist of two or more groups or classification like male, female;
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Simple linear regression results: Dependent Variable: Size Independent Variable: Income ($1000) Size = 2.3893113 + 0.023563983 Income ($1000) Sample size: 50 R (correlation coefficient) = 0.1984 R-sq = 0.039351758 Estimate of error standard deviation: 1.7220922 Parameter estimates: Parameter | Estimate | Std. Err. | Alternative | DF | T-Stat | P-Value | Intercept | 2.3893113 | 0.77432936 | ≠ 50 | 48 | -61.486355 | <0.0001 | Slope | 0.023563983 | 0.016804602 | > 50 |
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AVALON CLIENT REPORT Executive Summary: The analysis conducted for Avalon Cosmetics, Inc. needs to refocus its customer contact strategy. Using statistical analyses, the author found that the company’s marketing plan needs to be revised. Currently Avalon contacts most of its customers during the day, a technique that was profitable in 1990, but three years later in 1992, most customers were contacted in the evening. The data shows that 64% of Avalon’s customers now work, as compared to 26%
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that use historical data on independent variables to predict demand. Answer: False Reference: Key Decisions on Making Forecasts Difficulty: Moderate Keywords: judgment method, forecast, historical data, qualitative methods 8. Time-series analysis is a statistical approach that relies heavily on historical demand data to project the future size of demand. Answer: True Reference: Key Decisions on Making Forecasts Difficulty: Moderate Keywords: time series,
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Introduction According to the U.S. Department of Labor, unemployment rates have increased to 7.9 percent. The unemployment rate can be defined as the number of people actively looking for a job as to the percentage of the labor force. Although statistics show an increase has occurred, there has also been an increase in higher education jobs. Higher education growth has been steady, stable and greater than overall U.S. jobs. The market share of higher education jobs compared to all U.S. jobs
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Applied Econometrics BE5103 Tutorial 1 Q1 a) In the simple OLS regression estimation it is not possible that all actual independent Yi values lie above the estimated regression line. This is because OLS minimizes SUM ê2 , the residual , ê, is the difference between the actual Yi and the predicted Yi and has zero mean. In other words, OLS calculates the slope coefficient so that the difference between the predicted Yi and actual Yi is minimized. The OLS estimates of the βs: Are unbiased – the
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