Question

A company is interested in forecasting sales in the final quarter of the year based on...

A company is interested in forecasting sales in the final quarter of the year based on the first three quarters by fitting a linear regression model.

sales quarter
227 1
287 2
316 3

what is the proportion of the variability in sales can be explained by this model?

predict the sales for the fourth quarter

Homework Answers

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A company is interested in forecasting sales in the final quarter of the year based on...
A company is interested in forecasting sales in the final quarter of the year based on the first three quarters by fitting a linear regression model. Sales 170 243 297 Quarter 1 2 3 Firstly, what proportion of the variability in sales can be explained by the model? Secondly, predict the sales for the fourth quarter.
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y)...
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x1)  and newspaper advertising (x2).  The estimated regression equation was ŷ = 83.8 + 2.26x1 + 1.50x2. The computer solution, based on a sample of eight weeks, provided SST = 25.8 and SSR = 23.385. (a) Compute and interpret  R2 and Ra2. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that can be...
16. For the first quarter of the year, a company has projected sales of $3,435. Sales...
16. For the first quarter of the year, a company has projected sales of $3,435. Sales in the subsequent quarters are projected to increase at 10.74% per quarter. The company has a payables period of 52 days. The company purchases inventory in each quarter equal to 36% of projected sales for the following quarter. Assuming a quarter equals 90 days, how much total cash payments are made in the first quarter for inventory purchases?
Monette Motors is a chain of car dealerships. Sales in the fourth quarter of last year...
Monette Motors is a chain of car dealerships. Sales in the fourth quarter of last year were $4,100,000. Suppose management projects that its current​ year's quarterly sales will increase by 6​% in quarter​ 1, by another 5​% in quarter​ 2, by another 7% in quarter​ 3, and by another 3%in quarter 4. Management expects cost of goods sold to be 45% of revenues every​ quarter, while operating expenses should be 30% of revenues during each of the first two​ quarters,...
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y)...
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x1) and newspaper advertising (x2). The estimated regression equation was ŷ = 82.5 + 2.26x1 + 1.30x2. The computer solution, based on a sample of eight weeks, provided SST = 25.3 and SSR = 23.415. (a)Compute and interpret R2 and Ra2. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that...
The sales budget for your company in the coming year is based on a quarterly growth...
The sales budget for your company in the coming year is based on a quarterly growth rate of 20 percent with the first-quarter sales projection at $226.3 million. In addition to this basic trend, the seasonal adjustments for the four quarters are 0, −$17.3, −$9.3, and $22.3 million, respectively. Generally, 50 percent of the sales can be collected within the quarter and 45 percent in the following quarter; the rest of the sales are bad debt. The bad debts are...
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y)...
The owner of a movie theater company used multiple regression analysis to predict gross revenue (y) as a function of television advertising (x1) and newspaper advertising (x2).The estimated regression equation was ŷ = 83.1 + 2.23x1 + 1.30x2. The computer solution, based on a sample of eight weeks, provided SST = 25.4 and SSR = 23.395. (a) Compute and interpret R2 and Ra2. (Round your answers to three decimal places.) The proportion of the variability in the dependent variable that...
A company is formulating its marketing expense budget for the last quarter of the year. Sales...
A company is formulating its marketing expense budget for the last quarter of the year. Sales in units for the third quarter amounted to 3,400; sales volume for the fourth quarter is expected to increase by 10%. Variable marketing expense per unit sold amount to approximately $0.15, paid in cash in month of sale. Fixed marketing expense per month amount to $8,500 of salaries, $3,750 of depreciation (delivery trucks), and $1,700 of insurance (paid monthly). a. What is the total...
A company is formulating its marketing expense budget for the last quarter of the year. Sales...
A company is formulating its marketing expense budget for the last quarter of the year. Sales in units for the third quarter amounted to 3,600; sales volume for the fourth quarter is expected to increase by 10%. Variable marketing expense per unit sold amount to approximately $0.20, paid in cash in month of sale. Fixed marketing expense per month amount to $9,000 of salaries, $4,000 of depreciation (delivery trucks), and $1,800 of insurance (paid monthly). a. What is the total...
Savings-Mart (a chain of discount department stores) sells patio and lawn furniture. Sales are seasonal, with...
Savings-Mart (a chain of discount department stores) sells patio and lawn furniture. Sales are seasonal, with higher sales during the spring and summer quarters and lower sales during the fall and winter quarters. The company developed the following quarterly sales forecasting model: Yˆt=9.50+0.600t−2.75D1t+0.25D2t+3.5D3tY^t=9.50+0.600t−2.75D1t+0.25D2t+3.5D3t where YˆtY^t = = predicted sales (in millions of dollars) in quarter tpredicted sales (in millions of dollars) in quarter t 9.509.50 = = quarterly sales (in millions of dollars) when t = 0quarterly sales (in millions...