SE Corporation wants to predict Total Cost as a function of the number of visitors. They will ultimately use this information in pricing.

Their results show the following information: Number of Visitors Costs January 160,000 $2,904,000 February 150,000 $2,785,000 March 155,000 $2,680,100 April 200,000 $3,100,300 May 350,000 $3,254,300 June 300,000 $3,370,000 July 230,000 $3,152,700 August 260,000 $3,089,200 September 275,000 $3,462,600

Rounding: round variable cost per unit to two decimals; and round total fixed costs to dollars. To Do: (a) Using the high-low method, predict costs for October if the company expects 275,000 visitors. (b) Run the regression. Insert the regression output below. (c) Look at the linear regression results, how do you determine if this is an acceptable regression? (d) Using linear regression results, predict costs for October if the company expects 275,000 visitors.