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Discuss the limitations of the model

Assignment Help Basic Statistics
Reference no: EM132248357

Questions:

Identify the continuous, binary, and categorical variables. Convert the data so that all values to be analyzed are numeric (Display a sample 10 observations in your submission).

Determine whether any of the predictor variables are significantly correlated to each other. Which independent variables are statistically significant? Evaluate the model.

Choose an offensive soccer player in a top European league (e.g., the Premier League, the La Liga, Serie A etc.) and compute his predicted market value using the regression model.

Discuss the limitations of the model and how the model can be improved. N.B.: Answers must be based on the dataset

Each individual submission is limited to two A4 pages (this page limit does NOT include references) and must comply with the following guidelines: . margin "Normal", . Times New Roman, . Font Size 11 . Line Spacing: 1.0 . The header of each document should feature the student's name, student ID and the name of the case study being analysed.

Each answer should be preceded by the assigned question

Attachment:- Supplementary Software.zip

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The coefficient of number of AP courses offered is 0.006, the coefficient of number of AP math courses offered is 0.004 and the coefficient of scale of students mathematical identity is 0.590.Here, we see that the Number of AP courses offered and scale of student’s mathematical identity are significant predictors.Here we see that the two variables are significant at explaining the effect

Reference no: EM132248357

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Reviews

inf2248357

8/21/2019 2:10:01 AM

Thank you for doing my assignment. You guys approached me very quickly and even I got the response from your side very quickly. Thanks a lot to the team and to the expert.

inf2248357

8/21/2019 2:07:51 AM

I wish it around 800-900. The complete assignment should not go beyond 2 A4 pages excluding references and appendixes. Dear Team, First question answer is incomplete, (Display a sample 10 observations in your submission) this part is not covered. Also it will be helpful if you divide the answers as per question number, as it is very confusing. Questions: 1. Identify the continuous, binary, and categorical variables. Convert the data so that all values to be analyzed are numeric (Display a sample 10 observations in your submission). 2. Determine whether any of the predictor variables are significantly correlated to each other. 3. Which independent variables are statistically significant? 4. Evaluate the model. Choose an offensive soccer player in a top European league (e.g., the Premier League, the La Liga, Serie A etc.) and compute his predicted market value using the regression model. 5. Discuss the limitations of the model and how the model can be improved. Answers need to be as per the requirements and make sure to provide a proper explanation for each question.

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