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Using the XR17-07 dataset and Microsoft Excel, build and validate a multiple regression model. Explicitly describe the following:
• Choose the dependent as well as the independent variables. Why do you think are the selected independent variables expected to cause changes in the dependent variables?
• Assess the goodness of fit of your model.
• Interpret the coefficients of the regression model. Which independent variable has the strongest impact on the dependent variables? Which independent variable has the weakest impact?
• Summarize the key business takeaways from your model. Briefly describe what the model communicates.
Submit your response in a 2- to 3-page Microsoft Word document (copying any supporting parts of the Microsoft Excel output)
Find the correlation coefficient for the data and find the equation for the regression line for the data, and predict the final grade of a student who misses 3.5 days
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Health Care is 7%, Clothing is 6%, and Miscellaneous is 11%. To the nearest dollar, how much will be spent to provide housing for the child?
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Broom forgot to record a 30 dollar withdrawal at the ATM. The bank statement also collected a 400 dollar noe for broom. Prepare a bank reconciliation?
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