Find the conclusion about the relationship between x and y by testing the hypothesis H 0 : β = 0 and H a : β ≠ 0 using the significance level of 0.05.

Question

Want to see the full answer?

Answer 1

Question

Chapter 13.2, Problem 23E

a.

To determine

Find the conclusion about the relationship between x and y by testing the hypothesis H0:β=0 and Ha:β≠0 using the significance level of 0.05.

b.

To determine

Find the conclusion about the relationship between sales revenue (in thousands of dollars) and advertising expenditure by testing the hypothesis H0:β=40 and Ha:β>40 using the significance level of 0.01.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Students have asked these similar questions

In exercise 20, data on x = weight (pounds) and y = price ($) for ten road-racing bikes provided the estimated regression equation = 28574 -1439x (Bicycling website, March 8, 2012). For these data SSE = 7,102,922.54 and SST = 52,120,800. Use the F test to determine whether the weight for a bike and the price are related at the .05 level of significance. Click on the datafile logo to reference the data. Calculate the value of the test statistic (to 1 decimal). The p-value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 2 . Use Table 1 of Appendix B. What is your conclusion?

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 1,209.14 FloorSpace 12.98 CompetingAds −6.856 Price −0.1473 Make a prediction for Sales when FloorSpace = 81, CompetingAds = 103, and Price = 1,317. (Enter your answer in thousands. Round your answer to 2 decimal places.) Sales

In the table below ratings data on x = the quality of the speed of execution and y = overall satisfaction with electronic trades provided the estimated regression equation ŷ = 0.6132 + 0.8031x (AAII website). Brokerage Speed Satisfaction Scottrade, Inc. 2.6 2.6 Charles Schwab 3.9 3.8 Fidelity Brokerage Services 4.0 3.5 TD Ameritrade 4.0 3.5 E*Trade Financial 3.3 3.6 Vanguard Brokerage Services 3.3 3.4 USAA Brokerage Services 3.5 4.0 Thinkorswim 3.6 3.5 Wells Fargo Investments 3.1 3.0 Interactive Brokers 2.9 3.1 Zecco.com 2.6 2.3 At the 0.05 level of significance, test whether speed of execution and overall satisfaction are related. Show the ANOVA table. What is your conclusion? Source Sum of Squares Degrees Mean Square F p-value of Variation (to 4 decimals) of Freedom (to 4 decimals) (to 2 decimals) (to 4 decimals) Regression 1.6946 1 1.6946 17.22 0.0025 Error 0.8854 9 0.0984 Total 2.58 10 P-value is less than 0.01 We +) reject Ho: B1 = 0, we conclude that speed of execution and…

Answer 2

Question

Chapter 13.2, Problem 23E

a.

To determine

Find the conclusion about the relationship between x and y by testing the hypothesis H0:β=0 and Ha:β≠0 using the significance level of 0.05.

b.

To determine

Find the conclusion about the relationship between sales revenue (in thousands of dollars) and advertising expenditure by testing the hypothesis H0:β=40 and Ha:β>40 using the significance level of 0.01.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 3

Question

Chapter 13.2, Problem 23E

a.

To determine

Find the conclusion about the relationship between x and y by testing the hypothesis H0:β=0 and Ha:β≠0 using the significance level of 0.05.

b.

To determine

Find the conclusion about the relationship between sales revenue (in thousands of dollars) and advertising expenditure by testing the hypothesis H0:β=40 and Ha:β>40 using the significance level of 0.01.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 4

Question

Chapter 13.2, Problem 23E

a.

To determine

Find the conclusion about the relationship between x and y by testing the hypothesis H0:β=0 and Ha:β≠0 using the significance level of 0.05.

b.

To determine

Find the conclusion about the relationship between sales revenue (in thousands of dollars) and advertising expenditure by testing the hypothesis H0:β=40 and Ha:β>40 using the significance level of 0.01.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 5

Chapter 13.2, Problem 23E

a.

To determine

Find the conclusion about the relationship between x and y by testing the hypothesis H0:β=0 and Ha:β≠0 using the significance level of 0.05.

b.

To determine

Find the conclusion about the relationship between sales revenue (in thousands of dollars) and advertising expenditure by testing the hypothesis H0:β=40 and Ha:β>40 using the significance level of 0.01.

Answer 6

Chapter 13.2, Problem 23E

a.

To determine

Find the conclusion about the relationship between x and y by testing the hypothesis H0:β=0 and Ha:β≠0 using the significance level of 0.05.

Answer 7

Chapter 13.2, Problem 23E

a.

To determine

Find the conclusion about the relationship between x and y by testing the hypothesis H0:β=0 and Ha:β≠0 using the significance level of 0.05.

Answer 8

b.

To determine

Find the conclusion about the relationship between sales revenue (in thousands of dollars) and advertising expenditure by testing the hypothesis H0:β=40 and Ha:β>40 using the significance level of 0.01.

Answer 9

b.

To determine

Find the conclusion about the relationship between sales revenue (in thousands of dollars) and advertising expenditure by testing the hypothesis H0:β=40 and Ha:β>40 using the significance level of 0.01.

Answer 10

Expert Solution & Answer

Answer 11

Expert Solution & Answer

Answer 12

Want to see the full answer?

Check out a sample textbook solution

See solution

Answer 13

Ch. 13.1 - Prob. 1E Ch. 13.1 - The flow rate in a device used for air quality...Ch. 13.1 - The paper Predicting Yolk Height, Yolk Width,...Ch. 13.1 - Prob. 4E Ch. 13.1 - Suppose that a simple linear regression model is...Ch. 13.1 - a. Explain the difference between the line y x...Ch. 13.1 - Prob. 7E Ch. 13.1 - Hormone replacement therapy (HRT) is thought to...Ch. 13.1 - Prob. 9E Ch. 13.1 - A simple linear regression model was used to...

Find the conclusion about the relationship between x and y by testing the hypothesis H 0 : β = 0 and H a : β ≠ 0 using the significance level of 0.05.

Solution Summary: The author analyzes the relationship between x and y by testing the hypothesis using the significance level of 0.05.

Concept explainers

Videos

Find the conclusion about the relationship between x and y by testing the hypothesis H0:β=0 and Ha:β≠0 using the significance level of 0.05.

Find the conclusion about the relationship between sales revenue (in thousands of dollars) and advertising expenditure by testing the hypothesis H0:β=40 and Ha:β>40 using the significance level of 0.01.

Want to see the full answer?

Chapter 13 Solutions