A marketing professor at Givens College is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 156 students who took the course last semester are provided in the file MktHrsPts.
a. Develop a scatter chart for these data. What does the scatter chart indicate about the relationship between total points earned and hours spent studying?b. Develop an estimated regression equation showing how total points earned is related to hours spent studying. What is the estimated regression model?c. How good is the simple linear regression model? Explain. d. Mark Sweeney spent 95 hours studying. Use the regression model you estimated in part b to predict the total points Mark earned.

Concrete consulting co. has the following accounts in its ledger: cash; accounts receivable; supplies; office equipment; accounts payable; jason payne, capital; jason payne, drawing; fees earned; rent expense; advertising expense; utilities expense; miscellaneous expense. transactions oct. 1 paid rent for the month, $3,600. 3 paid advertising expense, $1,200. 5 paid cash for supplies, $750. 6 purchased office equipment on account, $8,000. 10 received cash from customers on account, $14,800. 15 paid creditors on account, $7,110. 27 paid cash for miscellaneous expenses, $400. 30 paid telephone bill (utility expense) for the month, $250. 31 fees earned and billed to customers for the month, $33,100. 31 paid electricity bill (utility expense) for the month, $1,050. 31 withdrew cash for personal use, $2,500. journalize the following selected transactions for october 2019 in a two-column journal. refer to the chart of accounts for exact wording of account titles

In most states, a licensee must provide a(n) of any existing agency relationships to all parties

Which of the following is an example of search costs? a.) driving to a faraway place to find available goods b.) buying goods in some special way that is outside the normal channels c.) paying a premium cost for goods d.) selling extra goods for a discount price