Question

Observations are taken on sales of a certain mountain bike in 21 sporting goods stores. The...

Observations are taken on sales of a certain mountain bike in 21 sporting goods stores. The regression model was Y = total sales (thousands of dollars), X1 = display floor space (square meters), X2 = competitors' advertising expenditures (thousands of dollars), X3 = advertised price (dollars per unit).

(a)

Fill in the values in the table given here. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your t-values to 3 decimal places and p-values to 4 decimal places.)

   

  Predictor Coefficient SE      tcalc      p-value
  Intercept 1,293.9     389.2           
  FloorSpace 11.088     1.63           
  Competing Ads -6.653     3.962           
  Price -0.14949     0.08342           

  

(b-1)

What is the critical value of Student's t in Appendix D for a two-tailed test at α = 0.01? (Round your answer to 3 decimal places.)

     

  t-value =
(b-2) Choose the correct option.
Only CompetingAds differs significantly from zero.
Only FloorSpace differs significantly from zero.
Only Price differs significantly from zero.

Homework Answers

Answer #1

ANSWER

-------------------------------------

DEAR STUDENT,

IF YOU HAVE ANY QUERY ASK ME IN THE COMMENT BOX,I AM HERE TO HELPS YOU.PLEASE GIVE ME POSITIVE RATINGS

*****************THANK YOU***************

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
Observations are taken on sales of a certain mountain bike in 30 sporting goods stores. The...
Observations are taken on sales of a certain mountain bike in 30 sporting goods stores. The regression model was Y = total sales (thousands of dollars), X1 = display floor space (square meters), X2 = competitors' advertising expenditures (thousands of dollars), X3 = advertised price (dollars per unit). (a) Fill in the values in the table given here. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round...
Observations are taken on sales of a certain mountain bike in 28 sporting goods stores. The...
Observations are taken on sales of a certain mountain bike in 28 sporting goods stores. The regression model was Y = total sales (thousands of dollars), X1 = display floor space (square meters), X2 = competitors' advertising expenditures (thousands of dollars), X3 = advertised price (dollars per unit). (a) Fill in the values in the table given here. (Negative values should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round...
Observations are taken on sales of a certain mountain bike in 30 sporting goods stores. The...
Observations are taken on sales of a certain mountain bike in 30 sporting goods stores. The regression model was Y = total sales (thousands of dollars), X1 = display floor space (square meters), X2 = competitors’ advertising expenditures (thousands of dollars), X3 = advertised price (dollars per unit). Predictor Coefficient Intercept 1,284.18 FloorSpace 11.28 CompetingAds −6.850 Price −0.1492
A regression model to predict Y, the state burglary rate per 100,000 people for 2005, used...
A regression model to predict Y, the state burglary rate per 100,000 people for 2005, used the following four state predictors: X1 = median age in 2005, X2 = number of 2005 bankruptcies, X3 = 2004 federal expenditures per capita (a leading predictor), and X4 = 2005 high school graduation percentage. (a) Fill in the values in the table given here for a two-tailed test at α = 0.01 with 40 d.f. (Negative values should be indicated by a minus...
A marketing consultant was hired to visit a random sample of five sporting goods stores across...
A marketing consultant was hired to visit a random sample of five sporting goods stores across the state of California. Each store was part of a large franchise of sporting goods stores. The consultant taught the managers of each store better ways to advertise and display their goods. The net sales for 1 month before and 1 month after the consultant's visit were recorded as follows for each store (in thousands of dollars): Store 1 2 3 4 5 Before...
A marketing consultant was hired to visit a random sample of five sporting goods stores across...
A marketing consultant was hired to visit a random sample of five sporting goods stores across the state of California. Each store was part of a large franchise of sporting goods stores. The consultant taught the managers of each store better ways to advertise and display their goods. The net sales for 1 month before and 1 month after the consultant's visit were recorded as follows for each store (in thousands of dollars): Store 1 2 3 4 5 Before...
A marketing consultant was hired to visit a random sample of five sporting goods stores across...
A marketing consultant was hired to visit a random sample of five sporting goods stores across the state of California. Each store was part of a large franchise of sporting goods stores. The consultant taught the managers of each store better ways to advertise and display their goods. The net sales for 1 month before and 1 month after the consultant's visit were recorded as follows for each store (in thousands of dollars): Store 1 2 3 4 5 Before...
The regression equation is Sales = 0.20 + 2.60 Adbudget Predictor Coef SE Coef T P...
The regression equation is Sales = 0.20 + 2.60 Adbudget Predictor Coef SE Coef T P Constant 0.200 2.132 0.09 0.931 Adbudget 2.6000 0.6429 4.04 0.027 S = 2.03306 R-Sq = 84.5% R-Sq(adj) = 79.3% Analysis of Variance Source     DF SS MS   F P Regression 1 67.600 67.600 16.35 0.027 Residual Error 3 12.400 4.133 Total 4 80.000 a) What is the slope of the regression equation? b) Null and alternative hypothesis c) Is the slope significantly different than...
(a) Calculate SSxx, SSyy, and SSxy. (Leave no cells blank - be certain to enter "0"...
(a) Calculate SSxx, SSyy, and SSxy. (Leave no cells blank - be certain to enter "0" wherever required.) Picture Click here for the Excel Data File College Student Weekly Earnings in Dollars (n = 5) Hours Worked (X) Weekly Pay (Y) (xi−x¯)2 (yi−y¯)2 (xi−x¯)(yi−y¯) 10 93 100 7056 840 15 171 25 36 30 20 204 0 729 0 20 156 0 441 0 35 261 225 7056 1260 20 177 350 15318 2130 x¯ y¯ SSXX SSyy SSxy (b)...
The Regal Cycle Company manufactures three types of bicycles—a dirt bike, a mountain bike, and a...
The Regal Cycle Company manufactures three types of bicycles—a dirt bike, a mountain bike, and a racing bike. Data on sales and expenses for the past quarter follow: Total Dirt Bikes Mountain Bikes Racing Bikes   Sales $ 929,000 $ 265,000 $ 405,000   $ 259,000     Variable manufacturing and selling expenses 460,000 111,000 195,000   154,000     Contribution margin 469,000 154,000 210,000 105,000     Fixed expenses:     Advertising, traceable 69,500 8,800 40,400 20,300     Depreciation of special equipment 43,400 20,500 7,700 15,200       Salaries of product-line managers 116,700...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT