A soft drink distributor was interested in examining the relationship between the number of ads (x) for his product during prime time on a local television station and the number of sales per week (y) in thousands of cases. He compiled the figures for 20 weeks and computed the following summary information: and Find the correlation coefficient for the number of ads during prime time and weekly sales.
______________
Find the best-fitting line relating the number of ads during prime time and weekly sales.
y = ______________
If the soft drink distributor ran 21 TV ads per week for his product, what would you predict his sales to be?
______________ thousand cases

Question

A soft drink distributor was interested in examining the relationship between the number of ads (x) for his product during prime time on a local television station and the number of sales per week (y) in thousands of cases. He compiled the figures for 20 weeks and computed the following summary information:   and  Find the correlation coefficient for the number of ads during prime time and weekly sales.
______________
Find the best-fitting line relating the number of ads during prime time and weekly sales.
y = ______________
If the soft drink distributor ran 21 TV ads per week for his product, what would you predict his sales to be?
______________ thousand cases

Quizplus · Accepted Answer

The Answer of A soft drink distributor was interested in examining the relationship between the number of ads (x) for his product during prime time on a local television station and the number of sales per week (y) in thousands of cases. He compiled the figures for 20 weeks and computed the following summary information:   and  Find the correlation coefficient for the number of ads during prime time and weekly sales.
______________
Find the best-fitting line relating the number of ads during prime time and weekly sales.
y = ______________
If the soft drink distributor ran 21 TV ads per week for his product, what would you predict his sales to be?
______________ thousand cases

A Soft Drink Distributor Was Interested in Examining the Relationship