regression

Submit your statistical output from Excel, which should include values for a slope, y-intercept, regression equation, r, and R2, and a one-page Word document in which you present an analysis of your results.

4-1 Data Set Homework: Correlation and Regression on Data Set 2 Previous Next data set 2 spreadsheet presents a sample of the number of defective flash drives produced by a small manufacturing company over the last 30 weeks. Use Excel’s Analysis ToolPak (or any statistical package that you are comfortable with) to compute the regression […]

Explain how is loneliness and perceived high social support predictive of remission from depression within 18-35 years old?

Loneliness: A New Pandemic? Research Question: How is loneliness and perceived high social support predictive of remission from depression within 18-35 years old? Hypothesis: It is hypothesized that high levels of perceived social support and low levels of loneliness predict remission from depression in adults aged 18-35 from blank regions to be in step with […]

Define “tall parents” and “short parents” according to your data. Then divide your sample into these two groups and report relevant statistics for the adult children and for parents in each group.

Galton’s article Part 1: Analysis with Galton’s original data set Galton’s work on children and parents’ height was published in: Galton, F. (1886): “Regression towards mediocrity in hereditary stature”, Journal of the Anthropological Institute, 15: 246-63. In this first part of the project you are asked to reconstruct the original data from this original article […]

Calculate the predicted adult children’s height whose parents are “tall” after 1, 2, 3, …, Z generations? And similarly, what is your prediction for adult children’s height whose parents are “short” after 1, 2, 3, …, Z generations?

Part 1: Analysis with Galton’s original data set Galton’s work on children and parents’ height was published in: Galton, F. (1886): “Regression towards mediocrity in hereditary stature”, Journal of the Anthropological Institute, 15: 246-63. In this first part of the project you are asked to reconstruct the original data from this original article and replicate […]

Estimate the coefficient on Beauty for the multiple regression model in (b) using the three-step process in Appendix 6.3. in Stock and Watson textbook (the Frisch- Waugh theorem).

Essentials of Econometrics Empirical Exercises SW6 E6.1 Using the data set TeachingRatings described in Empirical Exercises 4.2, carry out the following exercises. (a) Run a regression of Course_Eval on Beauty. What is the estimated slope? (b) Run a regression of Course_Eval on Beauty, including some additional variables to control for the type of course and […]

Discuss the difference between positive association and negative association when describing the relationship between two variables.

Correlation and Regression Discuss the difference between positive association and negative association when describing the relationship between two variables. What do we mean by the least-square criterion? Give a general description of how the least-square criterion is involve in the construction of the least-square line.  Why do we say the least-squares line is the “best-fitting” […]

If the price of a portrait during Month 21 is $10, what would you predict for sales in Month 21?

Multiple Regression For this assignment, you may find it helpful to review the Youtube video that is attached in the word document. Excel will be needed for this assignment. Show all your work. Let Yt be the sales during month t (in thousands of dollars) for a photography studio. Let Pt be the price charged […]

If a regression analysis was to be completed on body mass index (BMI), what could be an independent variable in that analysis? Why?

Discussion: Correlation and Regression 1. If a regression analysis was to be completed on body mass index (BMI), what could be an independent variable in that analysis? Why? 2. If we could, what other independent variables should be included in the analysis? 3. What statistic(s) would show the value of that regression in understanding BMI? […]

Explain in detail how you will go about analyzing your data. Explain why this type of analysis is most appropriate for your research.

Explain in detail how you will go about analyzing your data. Be sure to: Include definitions of all variables Identify your null hypothesis and research hypothesis Include the type of analysis to be conducted (correlation, t-test, confidence interval, regression, ANOVA, ANCOVA, etc.) Explain why this type of analysis is most appropriate for your research Identify […]

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