REGRESSION ANALYSIS R-squared is a statistical measure of how close the data are in the fitted regression line. The definition of R-squared is the percentage of the response variable variation that is explained by a linear model. OR R-sequared is always between 0 and 100%; where 0% indicates that none of the variables of the response data around its mean, where as, 100% indicates that all the variability of the response data around its mean. Usually, the higher the R-squared, the better the model fits the data, however, in some fields, it is entirely expected that the R-squared values will be low. For example, any field that attempts to predict human behavior, such as psychology, typically has R-squared value lower than 50%, this is because …show more content…
Error of the Estimate 1 .521a .271 .251 5.28001 a. Predictors: (Constant), INTELLECTUAL_STIMULATION, CHARISMA, INDIVIDUALIZED_CONSIDERATION Table 9 show that R-square is 0.271 indicate that 27.1% each variable of job satisfaction. R-square are low and this means that 73.9% of the job satisfaction was influence by other factors. Table 10 : Anova ANOVAb Model Sum of Squares df Mean Square F Sig. 1 Regression 1099.874 3 366.625 13.151 .000a Residual 2955.117 106 …show more content…
(2-tailed) .000 N 110 110 JOB_SATISFACTION Pearson Correlation .500** 1 Sig. (2-tailed) .000 N 110 110 **. Correlation is significant at the 0.01 level (2-tailed). Table 16 show a Pearson Correlation was run to determine the relationship between Individualized Consideration and Job Satisfaction in a Transformational Leadership. There was almost very strong, positive correlation between Individualized Consideration and job satisfaction, which was statiscally significant (r=0.500, n = 110, p = 000). Table 17 : Correlations between Transformational Leadership – Intellectual Stimulation and Job Satisfaction Correlations INTELLECTUAL_STIMULATION JOB_SATISFACTION INTELLECTUAL_STIMULATION Pearson Correlation .367** 1 Sig. (2-tailed) .000 N 110 110 JOB_SATISFACTION Pearson Correlation 1 .367** Sig. (2-tailed) .000 N 110 110 **. Correlation is significant at the 0.01 level (2-tailed). Table 17 show a Pearson Correlation was run to determine the relationship between Intellectual Stimulation and Job Satisfaction in a Transformational Leadership. There was a weak, positive correlation between Intellectual Stimulation and job satisfaction, which was statiscally significant (r=0.367, n = 110, p =
3. What is true about the relationship between two variables if the r-value is: a. Near 0? Very weak linear relationship b. Near 1? Strong, positive linear relationship c.
R in this data set is 0.043, this means that the 4.3% of the variation in salary is accounted for by the linear model relating salary to points scored by an NBA player. The equation for the least squared linear regression line is ŷ=3,239,630+131.887·x, meaning that for every average point made, salary should increase by $3,239,630. The slope for this set of data is 275.175, meaning that an NBA player's salary is predicted to go up by $275.18 as points increase. The standard deviation/average distance between the residuals and the predictions is about $4,738,380 meaning this scatterplot is somewhat accurate. The y-intercept of the data is $3,362,050, meaning if a player scored 0 points for a season, he would still receive $3,362,050 for the season; this is not very accurate because although players are sometimes guaranteed a certain amount money when drafted, the value varies for each
We predict if you are 65 inches tall, then you will have a Statistics II quarter one grade of 94.474% with a variation of 19.2 %. The coefficient of determination is the variation in the values of y that is explained by the least squares regression of y on x. Our r2 equals .192. This means that the variation in each prediction is 19.2% The variation is how the predicted data calculated from the regression equation can vary from the actual value. Our r2 value gave 19.2% variation which means our prediction is invalid. Any prediction has a 19.2% variation.
(2000). Leadership that gets results. http://hum.sagepub.com/content/53/8/1027.full.pdf+html. [Accessed 26 November 2014]. http://www.danielgoleman.info/topics/emotional-intelligence/.
By putting this recommendation into action now, I expect to become more connected to my coworkers, more visible to upper management, and more capable of making effective decisions in future leadership positions. Finally, my third change will be taking a more energetic approach to furthering my education, so I am able to have the skills I need to make effective decisions with the two-up, two-down approach in mind (Schmalz, 2015, np). In order to understand the goals and motivators of those above me, I need to learn more about their responsibilities and habits. Running Head: C200 TASK 2: LEADERSHIP ANALYSIS 11 “Leadership behavior stems from habitual neural pathways that are developed over time.
Understanding Leadership Leadership & Development Management Program1 Done By: Manal Al Mahmood Understand leadership styles Factors that will influence the choice of leadership styles in workplace situations Leadership is the ability of a person to move an organization towards the achievement or accomplishment of its goals and objectives (Ricketts and Ricketts, 2010, p.5). The leadership style used in an organization is essential in determining whether the desired results will be achieved. There are different factors that can impact the choice of leadership employed and a leader must identify and understand the impact that each factor would have in a given situation and must adapt the most ideal style that can enhance the desired result (Ricketts and Ricketts, 2010, p.5). Some of these factors include the nature of decision, the readiness of the team, situation, the behaviors of the team, leader’s personality, ability, and experiences.
2.3.1 Advantages of Transformational Leadership Given the rapid rate of change in organisations in today’s turbulent economic environment, it is crucial for leadership to be both flexible and adaptable. Given the uncertain environment within which organisations operate, the practice of transformational leadership style is vitally important as it will ensure the workforce is directed towards the future. It will also enable the workforce to think in new ways and become more creative and innovative which is imperative in todays ‘new world of work’ and digital economy within which organisations operate. Given the positive effects which this type of leadership brings on followers’, it leads to increased motivation and exceptionally performance.
Transformational leadership theory has captured the interest of many researchers in the field of organizational leadership over the past three decades. Transformational leadership theory was developed in the late 20th century by Burns (1978) in his analysis of political leaders. Prior to this time much attention had been given to the examination of the approaches of leaders who successfully transformed organizations. Burns characterized transformational leadership as that which “occurs when one or more persons engage with others in such a way that leaders and followers raise one another to higher levels of motivation and morality” (p. 20). He believed that transformational leadership could raise followers from a lower level to a higher level
The Authentic Leadership Questionnaire (ALQ) has helped to suggest that Authentic Leadership leads to increased organizational citizenship and individual satisfaction (Northouse, 2016, p.218). Another measurement survey is the Multifactor Leadership Questionnaire (MLQ) suggests that charisma and motivation have the most positive effects and that individualized consideration and intellectual stimulation are the next important factors (Northouse, 2016, pp.187-188). Both surveys were completed, along with others, to evaluate the strengths and weaknesses held in each style, results are the drivers of this philosophy; included in Gap Analysis
Research suggests that genetic factors influence certain aspects of personality (example, positive affectivity – negative affectivity, emotional stability, and extraversion) and these factors, in turn play a role in job satisfaction. (Judge, 2003) VALUE THEORY OF JOB SATISFACTION This theory takes a broader look at the question of what makes people satisfied. This theory argues that almost any factor can be source of job satisfaction so long as it is something that people value.
In spite of the fact that’ leadership analysis’ is the art of breaking down a leader into basic psychological components for study and use by academics and practitioners, a sound leadership analyses
Module 8: Leadership Model MGT 560: Leadership Development Colorado State University-Global Campus Professor: Tom Woodruff May 03, 2015 : Introduction The Case Study, The Food Terminal (A) has been considered to offer the Model adapted from Montgomery, Copley, and Associates (1996) as a solution for the issues arising out of the case study. A professional situation experienced by me has been considered too and the model employed while I was working as a Manager. Heart Mike mentioned that he was initially nervous while getting the responsibilities and was asked to meet the department managers, and that he could see the look of disappointment in their eyes. He had the heart to share that most of these managers
This is a predictive analysis which can explain the relationship between the different predictors and marital satisfaction. With this, the significant predictors will be determined, as well as the best predictor, to identify the strength of the effect of the predictors on marital satisfaction. These can all be determined by looking at the value of r or the multiple correlation coefficient, which can measure the quality or strength of prediction. The higher the value of r, the better the predictor. Aside from this, the value of r2 or the coefficient of determination will also be looked at to determine how close the data are to the fitted regression line.
The manual calculation formula is T=(x ̅_1-x ̅_2-μ_0)/(√(s_1^2+s_2^2 )/(n_1 n_2 )) . After plugging in all the number and doing the mathematics by hand . A p-value of 0.000 is given. The number is significant because it is within the level of significance of 0.05. A person begins by using the Excel Data Sheet from the Student Data file.
Job satisfaction occurs when employees consider the type of the