Free Essays on Linear Regression

Regression Analysis can be identified as providing a â€Å"best-fit† mathematical equation for the values of the two variables that you chose to analyze. From this we get two types of analysis, one being Simple Linear Regression Analysis, which we have been working with. This type of analysis can be defined as a regression model that uses one independent variable to explain the variation in the dependent variable. From the data given we have chosen to look at the affect experience (in years) has at this given company on annual salary. From gathering the data it is my hypothesis that there will be a positive linear relationship between experience and annual salary. Now lets see if the data supports or contests this. The first thing done when using the mini-tab program is to put all your data into the columns. Once you have done that you can start to look at your regression analysis. Because I inserted the data by hand, the columns are as follows: C1: Annual salary in dollars, C2: Experience in years, C3: Gender, C4: Age (years), C5: Training level (A=1, B=2, C=3). From the regression analysis the first thing we get is B1. The B1 value is located on the computer print out under the coefficient column and the horizontal column C2. The B1 value tells us that for every unit change in X, it will contribute to the Y by 1833.9 units. Since we have a positive slope, a one-unit increase in X will lead to an increase in Y by 1833.9 units. After we find out what B1 is we then can find out what B0 is which is also located under the coefficient column horizontally in the constant column. This value is 34,620 which to us means that when X is zero then Y(hat)=34620. The fundamental equation for our r egression analysis is Y(hat)= 34620+ 1833.9X. From this equation we can now predict what our annual salary will be using a value of X or the years of experience. There are three important terms the Sum of the Squared Error, the Sum of Sq... Free Essays on Linear Regression Free Essays on Linear Regression Regression Analysis can be identified as providing a â€Å"best-fit† mathematical equation for the values of the two variables that you chose to analyze. From this we get two types of analysis, one being Simple Linear Regression Analysis, which we have been working with. This type of analysis can be defined as a regression model that uses one independent variable to explain the variation in the dependent variable. From the data given we have chosen to look at the affect experience (in years) has at this given company on annual salary. From gathering the data it is my hypothesis that there will be a positive linear relationship between experience and annual salary. Now lets see if the data supports or contests this. The first thing done when using the mini-tab program is to put all your data into the columns. Once you have done that you can start to look at your regression analysis. Because I inserted the data by hand, the columns are as follows: C1: Annual salary in dollars, C2: Experience in years, C3: Gender, C4: Age (years), C5: Training level (A=1, B=2, C=3). From the regression analysis the first thing we get is B1. The B1 value is located on the computer print out under the coefficient column and the horizontal column C2. The B1 value tells us that for every unit change in X, it will contribute to the Y by 1833.9 units. Since we have a positive slope, a one-unit increase in X will lead to an increase in Y by 1833.9 units. After we find out what B1 is we then can find out what B0 is which is also located under the coefficient column horizontally in the constant column. This value is 34,620 which to us means that when X is zero then Y(hat)=34620. The fundamental equation for our r egression analysis is Y(hat)= 34620+ 1833.9X. From this equation we can now predict what our annual salary will be using a value of X or the years of experience. There are three important terms the Sum of the Squared Error, the Sum of Sq...

At School I Have Been Bullied by a Teacher

At School I Have Been Bullied by a Teacher Hashtag: #EnElColegioTengo (At school I have) Why Some Teachers Crossed the Line? A 14-year old girl in her second year of high school was yelled at, humiliated, and sent out of the room by her well-experienced male science teacher for simply asking stupid questions. Teachers who bullied their students, according to study, were mostly new teachers overwhelmed by frustrations or tenured teachers who were very set in their ways and unwilling to change their traditional coercive teaching practices. A few instances of accidental coercive reaction due to lack of experience and frustrating students’ behavior may be acceptable for new teachers but the bullying male science teacher is a veteran teacher. One explanation is the fact bullying behavior is rooted in personal values, ingrained, and consistent with the way a person understands the world. Since the behavior of tenured teachers served them well in the past and in fact earned them their current position and authority, they see themselves as superior, arrogant and unsympathetic towards â€Å"inferior† students. Study of bullying teachers shows that regardless of frustration or student’s positive behavior, teachers who are more senior, tenured, and experienced teachers routinely practiced bullying behavior. These include habitual utterance of offensive or suggestive language, derogatory or degrading remarks, get involved in coercive sexual behavior, racist and sexist comments, embarrassing, threatening, and intimidating remarks. Moreover, regardless of their position and authority, they engaged in spreading false rumors in an attempt to discredit and socially isolate an individual. Is There a Cure for Teacher’s Bullying Behavior? Connecting with students in both personal and professional manner is often very challenging. The study shows that teachers who cannot control a student displaying negative behavior in class often engage in power struggle until they become frustrated and respond with bullying. For this reason, it may be helpful for teachers to avoid engaging in the power struggle with aggressive or irritating students. Some of the recommended strategies to avoid power struggle is to build a positive relationship with students through caring concern, constructive feedback, and respect. For example, teachers communicating respectfully, paying attention to students concern, acknowledging those with positive behaviors, working with each student to address behavioral problems is unlikely to get negative responses from students. In contrast, those who used force and engaging in the power struggle, make a public scene of a student’s negative behavior, and taking it too personal often form the negative relationship, increased the potential for burnout, frustration, and bullying behavior. The above recommendations are clearly not inapplicable to â€Å"superior† tenured teachers who in a way value their deeply rooted unethical teaching practices. Since the principal in practice avoids dismissing these senior bullies, some of them were reassigned to non-teaching positions where cannot harm students. Other less senior bullies, probably those with potential for change, were sent to some sort of anti-bullying programs aimed at changing their culture, attitudes, feelings, and behavior. In preventing tenured teachers’ bullying, some programs encourage teaching and non-teaching staff to report a teacher bullying a student. Others conducted a student empowerment session aimed at balancing the power inside the classroom. This program in practice promotes awareness of bullying behaviors and their consequences and eventually developed respect between both parties.