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Requirements.docx
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BSBLDR511 - Develop and use emotional intelligence
Questions:
1. Explain emotional intelligence principles and strategies (100 words)
2. Describe the relationship between emotionally effective people and the attainment of business objectives (100 words)
3. Explain how to communicate with a diverse workforce which has varying cultural expressions of emotion (100 words)
4. List at least five (5) examples of emotional strengths and weaknesses. Explain all. (100 words)
5. Identify at least three (3) examples of emotional states you might identify in co-workers in the workplace, and outline the common cues for each. (100 words)
6. Why is it essential to consider varying cultural expressions of emotions when working and responding to emotional cues in a diverse workforce? (100 words)
7. There are a variety of opportunities you may provide in your workplace for others to express their thoughts and feelings. List two (2). ( 100 words)
8. Why is it important to assist others to understand the effect of their behavior and emotions on others in the workplace? ( 100 words)
9. What information will you need to consider to ensure you use the strengths of workgroup members to achieve workplace outcomes? (100 words)
Quiz 8 Notes
Scatterplots, Correlation and Regression
We are turning to our last quiz topic; regression. To get to regression, we need to understand several concepts first.
To start with, we will be working with two quantitative variables. The goal is to see if there is a relationship/association between the two variables. As one variable increases, what does the second variable do? If the second variable makes a consistent change then a relationship may exist. MAJOR POINT: saying a relationship exists does NOT mean there is Causation. The greatest abuse of statistical work is here, when a person runs a regression then says Variable A causes Variable B to change. You must have experimental results to establish causation.
Looking at the two variables that will be in a regression you need to know that each variable plays a specific role. One of the variables, X, will be the independent/explanatory variable and the other, Y, will be the dependent/ response variable. In a regression we are looking to see if changes in, Y; occur as X changes. It is very important that you establish at the beginning which of your variables will be X and which will be Y. Swapping the places for the two variables may not work. Let’s do an example.
In economics, we discuss the relationship of the quantity demand and the price of a good. Which one would be the X in a regression, and which would be, Y? The Law of Demand says, “as the price of a good increases, the quantity demanded decreases”. Which is allow.
FSE 200AdkinsPage 1 of 10Simple Linear Regression Corr.docxbudbarber38650
FSE 200
Adkins Page 1 of 10
Simple Linear Regression
Correlation only measures the strength and direction of the linear relationship between two quantitative variables. If the relationship is linear, then we would like to try to model that relationship with the equation of a line. We will use a regression line to describe the relationship between an explanatory variable and a response variable.
A regression line is a straight line that describes how a response variable y changes as an explanatory variable x changes. We often use a regression line to predict the value of y for a given value of x.
Ex. It has been suggested that there is a relationship between sleep deprivation of employees and the ability to complete simple tasks. To evaluate this hypothesis, 12 people were asked to solve simple tasks after having been without sleep for 15, 18, 21, and 24 hours. The sample data are shown below.
Subject
Hours without sleep, x
Tasks completed, y
1
15
13
2
15
9
3
15
15
4
18
8
5
18
12
6
18
10
7
21
5
8
21
8
9
21
7
10
24
3
11
24
5
12
24
4
Draw a scatterplot and describe the relationship. Lay a straight-edge on top of the plot and move it around until you find what you think might be a “line of best fit.” Then try to predict the number of tasks completed for someone having been without sleep 16 hours.
Was your line the same as that of the classmate sitting next to you? Probably not. We need a method that we can use to find the “best” regression line to use for prediction. The method we will use is called least-squares. No line will pass exactly through all the points in the scatterplot. When we use the line to predict a y for a given x value, if there is a data point with that same x value, we can compute the error (residual):
Our goal is going to be to make the vertical distances from the line as small as possible. The most commonly used method for doing this is the least-squares method.
The least-squares regression line of y on x is the line that makes the sum of the squares of the vertical distances of the data points from the line as small as possible.
Equation of the Least-Squares Regression Line
· Least-Squares Regression Line:
· Slope of the Regression Line:
· Intercept of the Regression Line:
Generally, regression is performed using statistical software. Clearly, given the appropriate information, the above formulas are simple to use.
Once we have the regression line, how do we interpret it, and what can we do with it?
The slope of a regression line is the rate of change, that amount of change in when x increases by 1.
The intercept of the regression line is the value of when x = 0. It is statistically meaningful only when x can take on values that are close to zero.
To make a prediction, just substitute an x-value into the equation and find .
To plot the line on a scatterplot, just find a couple of points on the regression line, one near each end of the range of x in the data. Plot the points and connect them with a line. .
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2. What is a dervitive? Is the instantaneous change of one quantity to another -Original equation -Derivative of the equation
3. How is a derivative linked to limits? Limits are used to find derivatives
4. What is the definition for a limit, and what does it mean? a Limit means to find what value y is as x approaches a certain number. This means a limit exists when the limit value is approached from both sides equally from the left and right side. If the arrow is going up to infinity next to the asymptote and the other side the arrow is going down negative infinity they do not exist.
5. Types of derivatives: Power Rule The power rule can be used to find the derivative by multiplying the exponent by the coefficient, and writing the new exponent as the old one minus 1. This can be used for multiple quantities as long as they are being added or subtracted, not multiplied or divided. -Original equation -power rule
6. Chain Rule you use the chain rule when you see exponents around two quantities in parentheses or if I see a trig angle that is more than just (x). To use the chain rule you find the derivative of the outside and then multiply it by the derivative of the inside.
7. Quotient Rule the quotient rule is used to find derivatives when quantities are being divided. So when you see a fraction, you will most likely be using the quotient rule. A catchy way to remember the quotient Rule formula:
8. Product Rule The product rule is used to find the derivative when you cannot use the power rule because two things are being multiplied. You use the formula:
9. Implicit Rule Is when you have x’s and y’s in a equation. You then substitute dx/dy and dx/dx in for your x’s and y’s. Then you try to get dy/dx by itself.
