Question.4021 - In this group discussion, let's have a little fun by taking a closer look at correlation and regression.Option 1.Check out the additional resources on Regression.Choose one to answer the following questions: Why did you choose this resource? In what ways did this resource better helped you understand the concepts from this week? What are some possible new questions you have after reviewing the resource? Resources Open Stax: Introductory Business Statistics 2eLinks to an external site. See Chapter 13 introduction sections 1,3,4,6and 7 Khan Academy - Unit 5: Exploring bivariate numerical dataLinks to an external site. <- this chapter provides some of the basics Khan Academy - Unit 15: Advanced regression (inference and transforming)Links to an external site. <- this chapter provides explanation of testing the relationship- skip the non-linear section . Crash Course Statistics - Regression - Episode #32 - VideoLinks to an external site. Option 2. Correlation by Eye Link to ApplicationLinks to an external site. Use the applet to create a plot to visualize the correlation between two variables. Create a three different relationships with the following correlations: 0.80 or more, between -0.2 and 0.2, and more than -0.80.Quick explanation of how to get started: How does the correlation and least-squares regression line change as points are added or subtracted from a scatterplot? What happens when you drag points far away from the center of points? In other words, how do outliers influence the line and the correlation? In what ways do more observations effect the influence of an extreme value? Link to AppLinks to an external site.Option 3. Use AI to critique your understanding and provide feedback. Use ChatGpt or CoPilot to critique your answers.Write your own response to ONE (or all if your feelin' sassy) of the following questions as if it were on an exam and you needed to answer it on recall.Question 1. (for YOU not AI): Explain the purpose of a residual plot in regression analysis.Question 2. (for YOU not AI): Describe what the coefficient of determination (R-squared) in regression analysis tells us about the relationship between variables. Question 3. (for YOU not AI): Suppose you have the following regression equation that models the relationship between hours studied and final exam grade: Predicted Exam Grade = 33 + 12(Hours Studied). Explain in your own words what the slope of the equation means in context. Prompt:"You are a business statistics expert please critique my answer to the following question. Please do not answer it for me rather explain whether my understanding is accurate or if there are parts I need to rethink."Allow AI to respond."Here is the Question: {Then paste the question you chose} and here is my response: {paste your response to question}"
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For xxxx week's xxxxxxxxxx I xxxxxxxx option x chose xxx Crash xxxxxx Statistics x Regression x Episode xxxxx as xx resource xxx this xxxxxx study x picked xxxx resource xxxxxxx I xxxx visual xxx auditory xxxxxxxxxxxx engaging xxx Crash xxxxxx often xxxxxxxx complex xxxxxx concisely xxxxxxx and xxxxxxxxxxxx This xxxxx helped xx better xxxxxxxxxx the xxxxxxxxxx concepts xx visually xxxxxxxxxxxx how xxxxxxxxxxxxx between xxxxxxxxx are xxxxxxxx and xxxxxxxxx It xxxxxxxxx key xxxxx like xxx purpose xx regression xxxxxxxx the xxxxxxxxxxxxxx of xxxxxxxxxxxx and xxx to xxxxxx the xxxxxxxx of xxx R-squared xx a xxx that xxx easier xx follow xxxx reading xxxxx After xxxxxxxxx the xxxxxxxx I xx curious xxxxx how xxxxxxxxxx analysis xxxxxxx for xxxxxxxxx outliers xx data xxx how xxxxxxxxx types xx regression x g xxxxxxxx vs xxxxxx are xxxxxx depending xx the xxxxxxxMore Articles From Statistics
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