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discuss in 100 words the big bang theory
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The big bang theory
This is the widespread theory which postulates that the entire universe came into exis...
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Mis 650 discussion response
Discussion 1: Anthony colesUnivariate linear regression is used to locate a relationship between one dependent or independ ...
Mis 650 discussion response
Discussion 1: Anthony colesUnivariate linear regression is used to locate a relationship between one dependent or independent variable. The intercept, which is labeled as a constant, is the point where the function crosses the y axis. Without an intercept, the regression line goes through the origin and the dependent and independent variable is equal to zero. When removing the intercept, the variable almost always become significant with a p value less than 0.05 and the R2 increases considerably. In some instances, it makes sense to remove the intercept. However, when looking to calculate predicted values, the best practice would be not to completely remove this from the analysis. Why is intercept important in regression analysis? | (analyticsinsight.net)Discussion 2: Meredith CarterThe intercept is often referred to as the “constant”. It is the expected mean of the dependent variable (y) when the independent variable (x) is equal to zero (Grace-Martin, n.d.). However, if the independent variable is never zero, then the intercept is of no interest since it will not help to determine the relationship between the two variables. In order for the intercept to have meaning in a dataset where the independent variable never equals zero, the independent variable needs to be rescaled so that the intercept can be calculated and meaningful.More often than not, the intercept is actually meaningless. But that doesn’t mean that it isn’t important in linear regression modeling. A significant constant simply means that it is significantly different than zero. Whether or not the intercept is significant is of no real importance.Frost, J. (n.d.). How to interpret the constant (y-intercept) in regression analysis. Statistics by Jim. Retrieved on September 24, 2021 from https://statisticsbyjim.com/regression/interpret-constant-y-intercept-regression/Grace-Martin, K. (n.d.). Interpreting the intercept in a regression model. The Analysis Factor. Retrieved on September 24, 2021 from https://www.theanalysisfactor.com/interpreting-the-intercept-in-a-regression-model/Discussion 3:David Lundholm “Linear regression is a statistical method to find the relationship between one dependent and one or more independent variables and is widely used to explore and model the relationship between variables”. The variable analysts are predicting is called the dependent variable and is denoted as Y, while the variables being based on predictions on are known as independent variables also referred as X. Univariate linear regression is commonly used to describe the relationship between a single independent variable (x) and a dependent variable (y). For example, when wanting to estimate the relationship between a person’s weight (y) given their height (x). The intercept, also known as the constant, represents the point where the function crosses the y-axis. Depending on what analysis is being done, “some models become more significant when the intercept is removed, and the regression line reduces to Y = bX + error”. Theoretically, when the intercept term is significant, you can reject the null hypothesis that the constant equals zero. Also, when the constant is statistically significant, the confidence interval will not include zero. This matters because it is more difficult to interpret the constant and draw conclusions about it when concluding that it doesn’t equal zero.References: Becominghuman. (WeiQin Chuah). (April 7, 2021). Univariate Linear Regression: Explained with Examples. https://becominghuman.ai/univariate-linear-regression-clearly-explained-with-example-4164e83ca2eeAnalytics Insight. (Ashish Sukhadeve). (July 10, 2016). Why is intercept important in regression analysis? https://www.analyticsinsight.net/why-is-intercept-important-in-regression-analysis/
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Ebp Process Form 9 19 1
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Ebp Process Form 9 19 1
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BUS309 Cloning for Medical Purposes and Pharmaceutical Industry Paper
In the land of free trade, the public does not view all industries as
equal. Do you believe that is ethical? Do you beli ...
BUS309 Cloning for Medical Purposes and Pharmaceutical Industry Paper
In the land of free trade, the public does not view all industries as
equal. Do you believe that is ethical? Do you believe that some
industries are unfairly targeted? Should it be consumers’ choice to
partake in products that are not healthy for them, or do those companies
have an ethical obligation to protect people? In this assignment, you
will choose from one (1) of the following industries to write about: The pharmaceutical industryThe payday loan industryCloning for medical purposes Write a paper in which you: Become an advocate for either the consumer or the industry. Prepare
an argument explaining the major reasons why you support either the
consumer or the industry. Discuss if you believe it is possible for a company to cater to
both its best interest and that of the consumer conjointly or if one
always has to prevail. Justify your response.Use at least two (2) quality references. Note: Wikipedia and similar Websites do not qualify as academic resources.Your assignment must follow these formatting requirements:
This course requires use of APA Writing Style The specific course learning outcomes associated with this assignment are: Determine the considerations for and process of ethical business
decision making to balance corporate and social responsibilities, and
address moral, economic, and legal concerns.Analyze selected business situations using the predominant ethical
theories, such as utilitarian, Kantian, and virtue ethics to guide
ethical business decision making. Use technology and information resources to research issues in business ethics.Write clearly and concisely about business ethics using proper writing mechanics.
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Mis 650 discussion response
Discussion 1: Anthony colesUnivariate linear regression is used to locate a relationship between one dependent or independ ...
Mis 650 discussion response
Discussion 1: Anthony colesUnivariate linear regression is used to locate a relationship between one dependent or independent variable. The intercept, which is labeled as a constant, is the point where the function crosses the y axis. Without an intercept, the regression line goes through the origin and the dependent and independent variable is equal to zero. When removing the intercept, the variable almost always become significant with a p value less than 0.05 and the R2 increases considerably. In some instances, it makes sense to remove the intercept. However, when looking to calculate predicted values, the best practice would be not to completely remove this from the analysis. Why is intercept important in regression analysis? | (analyticsinsight.net)Discussion 2: Meredith CarterThe intercept is often referred to as the “constant”. It is the expected mean of the dependent variable (y) when the independent variable (x) is equal to zero (Grace-Martin, n.d.). However, if the independent variable is never zero, then the intercept is of no interest since it will not help to determine the relationship between the two variables. In order for the intercept to have meaning in a dataset where the independent variable never equals zero, the independent variable needs to be rescaled so that the intercept can be calculated and meaningful.More often than not, the intercept is actually meaningless. But that doesn’t mean that it isn’t important in linear regression modeling. A significant constant simply means that it is significantly different than zero. Whether or not the intercept is significant is of no real importance.Frost, J. (n.d.). How to interpret the constant (y-intercept) in regression analysis. Statistics by Jim. Retrieved on September 24, 2021 from https://statisticsbyjim.com/regression/interpret-constant-y-intercept-regression/Grace-Martin, K. (n.d.). Interpreting the intercept in a regression model. The Analysis Factor. Retrieved on September 24, 2021 from https://www.theanalysisfactor.com/interpreting-the-intercept-in-a-regression-model/Discussion 3:David Lundholm “Linear regression is a statistical method to find the relationship between one dependent and one or more independent variables and is widely used to explore and model the relationship between variables”. The variable analysts are predicting is called the dependent variable and is denoted as Y, while the variables being based on predictions on are known as independent variables also referred as X. Univariate linear regression is commonly used to describe the relationship between a single independent variable (x) and a dependent variable (y). For example, when wanting to estimate the relationship between a person’s weight (y) given their height (x). The intercept, also known as the constant, represents the point where the function crosses the y-axis. Depending on what analysis is being done, “some models become more significant when the intercept is removed, and the regression line reduces to Y = bX + error”. Theoretically, when the intercept term is significant, you can reject the null hypothesis that the constant equals zero. Also, when the constant is statistically significant, the confidence interval will not include zero. This matters because it is more difficult to interpret the constant and draw conclusions about it when concluding that it doesn’t equal zero.References: Becominghuman. (WeiQin Chuah). (April 7, 2021). Univariate Linear Regression: Explained with Examples. https://becominghuman.ai/univariate-linear-regression-clearly-explained-with-example-4164e83ca2eeAnalytics Insight. (Ashish Sukhadeve). (July 10, 2016). Why is intercept important in regression analysis? https://www.analyticsinsight.net/why-is-intercept-important-in-regression-analysis/
9 pages
Ebp Process Form 9 19 1
Follow Nurse Daniel as your process mentor in the weekly Illustration section of the lesson. Please do not use any of the ...
Ebp Process Form 9 19 1
Follow Nurse Daniel as your process mentor in the weekly Illustration section of the lesson. Please do not use any of the Nurse Daniel information for ...
ENG108 Lesson 3 Assignment Skinny Barbie doll
43. Follow the instruction to write 2pages draft for PPTPlease note that you will only need to write what will be on the P ...
ENG108 Lesson 3 Assignment Skinny Barbie doll
43. Follow the instruction to write 2pages draft for PPTPlease note that you will only need to write what will be on the PPT. You don’t need to prepare a PPTAll the work must be original
5 pages
Pacific Drilling Case Brief.
General Environment Analysis. Pacific Drilling must consider weather and climate change environmental factors. Weather aff ...
Pacific Drilling Case Brief.
General Environment Analysis. Pacific Drilling must consider weather and climate change environmental factors. Weather affects transportation and the ...
BUS309 Cloning for Medical Purposes and Pharmaceutical Industry Paper
In the land of free trade, the public does not view all industries as
equal. Do you believe that is ethical? Do you beli ...
BUS309 Cloning for Medical Purposes and Pharmaceutical Industry Paper
In the land of free trade, the public does not view all industries as
equal. Do you believe that is ethical? Do you believe that some
industries are unfairly targeted? Should it be consumers’ choice to
partake in products that are not healthy for them, or do those companies
have an ethical obligation to protect people? In this assignment, you
will choose from one (1) of the following industries to write about: The pharmaceutical industryThe payday loan industryCloning for medical purposes Write a paper in which you: Become an advocate for either the consumer or the industry. Prepare
an argument explaining the major reasons why you support either the
consumer or the industry. Discuss if you believe it is possible for a company to cater to
both its best interest and that of the consumer conjointly or if one
always has to prevail. Justify your response.Use at least two (2) quality references. Note: Wikipedia and similar Websites do not qualify as academic resources.Your assignment must follow these formatting requirements:
This course requires use of APA Writing Style The specific course learning outcomes associated with this assignment are: Determine the considerations for and process of ethical business
decision making to balance corporate and social responsibilities, and
address moral, economic, and legal concerns.Analyze selected business situations using the predominant ethical
theories, such as utilitarian, Kantian, and virtue ethics to guide
ethical business decision making. Use technology and information resources to research issues in business ethics.Write clearly and concisely about business ethics using proper writing mechanics.
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