A business analyst believes that December holiday sales in 2016 are a good predictor of December holiday sales in 2017. A random sample of 8 toy stores produced the following data where x is the amount of December holiday sales in 2016 and y is the amount of December sales in 2017, in dollars. *See attachment**

a) Find an equation of the least squares regression line. Round the slope and y-intercept value to two decimal places. Describe method for obtaining results.

b) Based on the equation from part (a) , what is the predicted 2017 December holiday sales if the 2016 December holiday sales is $6,000? Show all work and justify your answer.

c) Based on the equation from part (a), what is the predicted 2017 December holiday sales if the 2016 December holiday sales is $20,000? Show all work and justify your answer,

d) Which predicted 2017 holiday sales that you calculated for (b) and (c) do you think is closer to the true predicted 2017 holiday sales and why?

Statistics Final Examination, Fall 2019 OL1 in 2017, in dollars. where x is the amount of December holiday sales in 2016 and y is the amount of December sales X y 10257 11689 6556 6438 7224 8662 9987 9454 11568 12004 8453 8021 4235 6048 5576 4850 (a) Find an equation of the least squares regression line. Round the slope and y-intercept value to two decimal places. Describe method for obtaining results