Ugh..would anyone like to be g. f?

XyzHelp me...

tired of being single :/​

This term refers to the number of people per unit area (usually a kilometer or a mile). this could refer to the number of people per square mile in a city, a county, a province, a state, or a nation.

1. the responsibilities of the u.s. federal reserve system include overseeing the banking system and regulating the quantity of money in the economy setting the level of real interest rates working with congress to devise a financial plan for the country and execute the president's orders calculating and reporting the unemployment rate 2. to increase the supply of money when the economy is weak, the fed closes banks reduces inflation sells bonds buys bonds 3. the federal funds rate is the short-term interest rate that banks charge their best customers when borrowing banks earn on savings accounts with the fed banks charge each other when borrowing or lending to each other the fed charges banks when borrowing 4. when the fed increases the money supply and consequently lowers interest rates, the value of the dollar will rise by more in the market for foreign exchange, all else equal will fall, all else equal is not impacted by fed policy will rise, all else equal

Griffin correctly concludes that the coordinate pair for the russian federation is an influential point, because removing the russian federation from the relationship will significantly change the trend of the regression line. is an influential point, because removing the russian federation from the relationship will not significantly affect the estimated coefficient of determination of the regression line. is not an influential point, because the russian federation does not have the highest cvdir of all 1111 nations in the scatterplot. is an influential point, because removing the russian federation from the relationship will not significantly affect the estimated slope of the regression line. is not an influential point, because the russian federation has a positive residual in the least-squares linear regression.