Question

Costco sells paperback books in their retail stores and wanted to examine the relationship between price...

Costco sells paperback books in their retail stores and wanted to examine the relationship between price and demand. The price of a particular novel was adjusted each week and the weekly sales were recorded in the table below.

Sales Price
3 $12
4 $11
6 $10
10 $9
8 $8
10 $7

  
Management would like to use simple regression analysis to predict sales for this novel using the price of the novel.

Use Excel to answer the following questions. You can copy and paste the data into excel or use the provided excel file (attached below).

q4 final exam.xlsx

a). (10) Use Excel to find the intercept and slope for the regression. Report the 2 values.

b). (10) Interpret the intercept and the slope from a).

c). (5) Predict sales for the novel when priced at $9.

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
Costco sells paperback books in their retail stores and wanted to examine the relationship between price...
Costco sells paperback books in their retail stores and wanted to examine the relationship between price and demand. The price of a particular novel was adjusted each week and the weekly sales were recorded in the table below. Sales Price 3 $12 4 $11 6 $10 10 $9 8 $8 10 $7 Management would like to use simple regression analysis to estimate weekly demand for this novel using the price of the novel. The y-intercept for the regression equation is...
Costco sells paperback books in their retail stores and wants to examine the relationship between the...
Costco sells paperback books in their retail stores and wants to examine the relationship between the prices and sales. The price of a particular novel was adjusted each week and the weekly sales are in the following table. Management would like to use a simple linear regression model that uses prices to predict sales. Sales Price 7 $ 12 4 $ 11 5 $ 10 9 $ 9 8 $ 8 8 $ 7 7 $ 7 The coefficient of...
A medical statistician wanted to examine the relationship between the amount of sunshine (x) in hours,...
A medical statistician wanted to examine the relationship between the amount of sunshine (x) in hours, and incidence of skin cancer (y). As an experiment he found thenumber of skin cancers detected per 100,000 of population and the average daily sunshine in eight counties around the country. these data are shown... Average dealy sunshine 5 7 6 7 8 6 4 3 Skin Cancer per 100,000 7 11 9 12 15 10 7 5 a) determine the least squares regression...
A researcher wants to know if there is a relationship between the number of shopping centers...
A researcher wants to know if there is a relationship between the number of shopping centers in a state and the retail sales (in billions $) of that state. A random sample of 8 states is listed below. After determining, via a scatter-plot, that the data followed a linear pattern, the regression line was found. Using the given data and the given regression output answer the following questions. State Num Sales 1 630 15.5 2 370 7.5 3 616 13.9...
1. The data below show the historical relationship between production levels and overhead costs at your...
1. The data below show the historical relationship between production levels and overhead costs at your company. a) Construct a scatterplot of y versus x. b) Find the least-squares regression line (i.e., calculate the coefficients and show the equation) relating overhead costs to production. c) Graph the regression line on the plot. It is recommended that you use Excel to create the scatterplot, but do not use the Excel functions to calculate the slope and intercept of the regression line....
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the...
A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company conducted a simple linear regression and the result from excel is below Regression Statistics Multiple R 0.875145811 R Square 0.76588019 Adjusted R Square 0.719056228 Standard Error 16.76656463 Observations 7 Coefficients Standard Error...
The accompanying table shows a portion of data consisting of the selling price, the age, and...
The accompanying table shows a portion of data consisting of the selling price, the age, and the mileage for 20 used sedans. Selling Price Age Miles 13,604 7 61,459 13,831 7 54,341 ⋮ ⋮ ⋮ 11,951 9 42,432 a. Determine the sample regression equation that enables us to predict the price of a sedan on the basis of its age and mileage. (Negative values should be indicated by a minus sign. Round your answers to 2 decimal places.) [If you...
Period Price Quantity 1 $4.65 33 2 $4.67 30 3 $4.62 35 4 $4.59 40 5...
Period Price Quantity 1 $4.65 33 2 $4.67 30 3 $4.62 35 4 $4.59 40 5 $4.57 43 6 $4.58 40 7 $4.55 50 8 $4.50 52 9 $4.52 49 10 $4.50 53 11 $4.43 57 12 $4.45 55 13 $4.42 59 14 $4.40 64 15 $4.44 60 16 $4.37 70 17 $4.35 72 18 $4.32 75 19 $4.37 80 20 $4.26 88 Given the data provided to you in class, use the regression toll in Excel to perform a...
1.   There are two major websites that use mathematical models to predict the price of houses...
1.   There are two major websites that use mathematical models to predict the price of houses based on things like # of bedrooms, square feet, location, what similar houses sell for, all kinds of variables. You’re going to select a sample of houses and see which website predicts better. a.   Decide on a location for your sample. Anywhere in the US works. Write the location here. Fresno, CA b.   Go to www.zillow.com and check “Recently Sold.” Randomly select at least...
A study was done to look at the relationship between number of movies people watch at...
A study was done to look at the relationship between number of movies people watch at the theater each year and the number of books that they read each year. The results of the survey are shown below. Movies 5 8 8 8 1 5 5 9 4 Books 6 0 0 0 7 6 3 0 3 Find the correlation coefficient: r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are: H0:H0: ? r μ ρ  ==...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT