Question: Open the NFLTEAMVALUES 2 0 1 8 dataset in RStudio. Here we are interested in modeling the relationship between current value of an NFL team

Open the NFLTEAMVALUES2018 dataset in RStudio. Here we are interested in modeling the relationship between current value of an NFL team and their debt relative to value. The relevant columns of the dataset are Current_Value and Debt_to_Value. Note that all values in these columns are in millions. Suppose we can use a simple linear regression model to describe the relationship where we treat Debt_to_Value as the predictor variable.
Compute a 90% confidence interval for the slope coefficient in front of Debt_to_Value. What does this confidence interval tell us?
Conduct a 99% confidence level hypothesis test to test whether or not the true slope coefficient is equal to 1000.
What is our best estimate for the variance of the residuals?
Open the NFLTEAMVALUES 2 0 1 8 dataset in

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