Use linear regression to find the equation of the line that best fits the data. Predict...

Transcribed Image Text:

Use linear regression to find the equation of the line that best fits the data. Predict the average retail price of a game system that is 6 years old in the spring of 1997. At what age is the game system worthless? The regression line is M (Round the coefficients to the nearest hundredth; use A for the age and R for the retail price.) Average base retail price in the spring of 1997 for a ga system Age(years) Retail price($) 1 2 3 4 5 475 401 310 254 177 Use linear regression to find the equation of the line that best fits the data. Predict the average retail price of a game system that is 6 years old in the spring of 1997. At what age is the game system worthless? The regression line is M (Round the coefficients to the nearest hundredth; use A for the age and R for the retail price.) Average base retail price in the spring of 1997 for a ga system Age(years) Retail price($) 1 2 3 4 5 475 401 310 254 177