# Pure Mathematics Economics Math Problem Research Paper (Math Problem Sample)

SOLVING QUESTIONS RELATED TO STATISTICS

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Pure Mathematics

Student name

Institution Affiliated

DSC 423

Assignment 1

Based on Prerequisites and Modules 1 and 2

Your submission must include your name and student ID. Your submission must include the honor statement: "I have completed this work independently. The solutions given are entirely my own work." You submission must be submitted as a PDF.

1 Short Essay (10 pts.) For each of these questions, your audience is persons that are not experts in statistics. Write with complete sentences and paragraphs. Cite any references that you use.

1 (5 pts.) Imagine you fit a regression model to a dataset and find that R‐squared = 0.69. Is this a good regression model or not? If you cannot tell, what additional information do you need? Explain.

If a regression model reveals the value of R squared = 0.69,then that times that the predictive model of the data set can account for 0.69=69% which is effective to make a judgment. The R-Square value expected range is between 0.60-0.90 which is translated to mean (60-90%), this interprets that within the predictive model is so accurate when the data values score the ranges between 60-70% as shown above (Teoh, Yang, & Zhang, 2009).The value of R-Square lying between the range of R square <0.5 tends towards under fitting the model while above R square >0.9 bends towards over fitting of the model.

Therefore, this is a good regression according to the R-Square value deemed fit and falling above the expected range.

2 (5 pts.) Research and then explain the “regression fallacy”. Provide at least one example.

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