In: Statistics and Probability
The Quick Sell car dealership has been usinf 1 minute spot ads on a local tv station. The ads run during the evening hours and advertise the different models and price ranges of the cars on the lot that week. During a randomly chosen 10 week period, the Quick Sell dealer kept a weekly record of the number of TV ads versus the number of cars sold.
# of Ads: 6, 20, 0, 14, 25, 16, 28, 18, 10, 8
Cars Sold: 15, 31, 10, 16, 28, 20, 40, 25, 12, 15
A. Find the regression equation.
B. Test the data for positive linear correlation. Use a=0.05
c. If the manager can only afford 15 ads per week, how many cars can he/she expect to sell?
A. Find the regression equation: y = 1.011x + 6.5407
Bring data in to excel and run regression analysis
B. Test the data for positive linear correlation. Use a=0.05
Multiple (r) is there in the regression summary output.
correlation coefficient r = 0.92
c. If the manager can only afford 15 ads per week, how many cars can he/she expect to sell?
y = 1.011x + 6.5407
x = 15
y = 1.011*15 + 6.5407 = 22
22 cars can be expect to sell