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Exercise 17
Please see attachment bellow for reference to the following questions. Respond in a Word Document. ...
Exercise 17
Please see attachment bellow for reference to the following questions. Respond in a Word Document. 1. What are the assumptions for conducting a paired or dependent samples t -test in a study? Which of these assumptions do you think were met by the Lindseth et al. (2014) study? 2. In the introduction, Lindseth et al. (2014) described a “2-week washout between diets.” What does this mean? Why is this important? 3. What is the paired t -test value for mood (irritability) between the participants ’ consumption of high- versus low-aspartame diets? Is this result statistically significant? Provide a rationale for your answer. 4. State the null hypothesis for mood (irritability) that was tested in this study. Was this hypothesis accepted or rejected? Provide a rationale for your answer. 5. Which t value in Table 2 represents the greatest relative or standardized difference between the high- and low-aspartame diets? Is this t value statistically significant? Provide a rationale for your answer. 6. Discuss why the larger t values are more likely to be statistically significant. 7. Discuss the meaning of the results regarding depression for this study. What is the clinical importance of this result? 8. What is the smallest, paired t -test value in Table 2 ? Why do you think the smaller t values are not statistically significant? 9. Discuss the clinical importance of these study results about the consumption of aspartame. Document your answer with a relevant source. 10. Are these study findings related to the consumption of high- and low-aspartame diets ready for implementation in practice? Provide a rationale for your answer.
Statistics discussion
A student's parents promise to pay for next semester's tuition if an "A" average is earned in Math. With examination grad ...
Statistics discussion
A student's parents promise to pay for next semester's tuition if an "A" average is earned in Math. With examination grades of 97%, 97% 75%, 70% and 55%, the student reports that an "A" average has been earned. Which measure of central tendency is the student reporting as the average. How is this student misrepresenting the course performance with statistics?
5 pages
Homework Help
A company has estimated the standard deviation of individual sales transactions to be $2000. Approximately 100 sales trans ...
Homework Help
A company has estimated the standard deviation of individual sales transactions to be $2000. Approximately 100 sales transactions take place each ...
MBA 6300 case study, quantitative analysis
There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), nu ...
MBA 6300 case study, quantitative analysis
There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), number of bedrooms, and number of bathrooms.The data in the Case Study No. 2.xlsx file pertains to a random sample of houses located in a particular geographic area.
Develop the following simple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
Sale price based upon square feet of living area.
Sale price based upon number of bedrooms.
Sale price based upon number of bathrooms.
Develop the following multiple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
Sale price based upon square feet of living area and number of bedrooms.
Sale price based upon square feet of living area and number of bathrooms.
Sale price based upon number of bedrooms and number of bathrooms.
Sale price based upon square feet of living area, number of bedrooms, and number of bathrooms.
Discuss the joint statistical significance of each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
Discuss the individual statistical significance of the coefficient for each independent variable for each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
Compare any of the preceding simple and multiple linear regression models that were found to be jointly and individually statistically significant at a 90% level of confidence and select the preferred regression model. Explain your selection using the appropriate regression statistics.
Interpret the coefficient for each independent variable (or variables) associated with your selected preferred regression model.
Using the preferred regression model, predict the sale price of a house with the following values for the independent variables: 3,000 square feet of living area, 3 bedrooms, and 2.5 bathrooms.(Hint: You should only use the values for those independent variables that are specifically associated with your selected preferred regression model.)
Prepare a single Microsoft Excel file using a separate worksheet for each question
Week 7 Assignment
Question 1 Assume you have noted the following prices for paperback books and the number of pages that each book contains. ...
Week 7 Assignment
Question 1 Assume you have noted the following prices for paperback books and the number of pages that each book contains. Develop a least-squares estimated regression line. Compute the coefficient of determination and explain its meaning.Compute the correlation coefficient between the price and the number of pages. Test to see if x and y are related. Use α = 0.10.Question 2The following data represent a company's yearly sales volume and its advertising expenditure over a period of 8 years. Develop a scatter diagram of sales versus advertising and explain what it shows regarding the relationship between sales and advertising.Use the method of least squares to compute an estimated regression line between sales and advertising.If the company's advertising expenditure is $400,000, what are the predicted sales? Give the answer in dollars.What does the slope of the estimated regression line indicate?Grading Criteria AssignmentsMaximum PointsMeets or exceeds established assignment criteria40Demonstrates an understanding of lesson concepts20Clearly presents well-reasoned ideas and concepts30Uses proper mechanics, punctuation, sentence structure, and spelling10Total100
3 pages
Math125 U4 Ip 10 Wk Problem Set 2005d
For this assignment, you will create a personal budget and compare it to the 50/30/20 budgeting strategy. 2. Show ALL step ...
Math125 U4 Ip 10 Wk Problem Set 2005d
For this assignment, you will create a personal budget and compare it to the 50/30/20 budgeting strategy. 2. Show ALL step-by-step calculations, and ...
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Most Popular Content
Exercise 17
Please see attachment bellow for reference to the following questions. Respond in a Word Document. ...
Exercise 17
Please see attachment bellow for reference to the following questions. Respond in a Word Document. 1. What are the assumptions for conducting a paired or dependent samples t -test in a study? Which of these assumptions do you think were met by the Lindseth et al. (2014) study? 2. In the introduction, Lindseth et al. (2014) described a “2-week washout between diets.” What does this mean? Why is this important? 3. What is the paired t -test value for mood (irritability) between the participants ’ consumption of high- versus low-aspartame diets? Is this result statistically significant? Provide a rationale for your answer. 4. State the null hypothesis for mood (irritability) that was tested in this study. Was this hypothesis accepted or rejected? Provide a rationale for your answer. 5. Which t value in Table 2 represents the greatest relative or standardized difference between the high- and low-aspartame diets? Is this t value statistically significant? Provide a rationale for your answer. 6. Discuss why the larger t values are more likely to be statistically significant. 7. Discuss the meaning of the results regarding depression for this study. What is the clinical importance of this result? 8. What is the smallest, paired t -test value in Table 2 ? Why do you think the smaller t values are not statistically significant? 9. Discuss the clinical importance of these study results about the consumption of aspartame. Document your answer with a relevant source. 10. Are these study findings related to the consumption of high- and low-aspartame diets ready for implementation in practice? Provide a rationale for your answer.
Statistics discussion
A student's parents promise to pay for next semester's tuition if an "A" average is earned in Math. With examination grad ...
Statistics discussion
A student's parents promise to pay for next semester's tuition if an "A" average is earned in Math. With examination grades of 97%, 97% 75%, 70% and 55%, the student reports that an "A" average has been earned. Which measure of central tendency is the student reporting as the average. How is this student misrepresenting the course performance with statistics?
5 pages
Homework Help
A company has estimated the standard deviation of individual sales transactions to be $2000. Approximately 100 sales trans ...
Homework Help
A company has estimated the standard deviation of individual sales transactions to be $2000. Approximately 100 sales transactions take place each ...
MBA 6300 case study, quantitative analysis
There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), nu ...
MBA 6300 case study, quantitative analysis
There are numerous variables that are believed to be predictors of housing prices, including living area (square feet), number of bedrooms, and number of bathrooms.The data in the Case Study No. 2.xlsx file pertains to a random sample of houses located in a particular geographic area.
Develop the following simple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
Sale price based upon square feet of living area.
Sale price based upon number of bedrooms.
Sale price based upon number of bathrooms.
Develop the following multiple linear regression models to predict the sale price of a house based upon a 90% level of confidence.Write the regression equation for each model.
Sale price based upon square feet of living area and number of bedrooms.
Sale price based upon square feet of living area and number of bathrooms.
Sale price based upon number of bedrooms and number of bathrooms.
Sale price based upon square feet of living area, number of bedrooms, and number of bathrooms.
Discuss the joint statistical significance of each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
Discuss the individual statistical significance of the coefficient for each independent variable for each of the preceding simple and multiple linear regression models at a 90% level of confidence and 95% level of confidence.
Compare any of the preceding simple and multiple linear regression models that were found to be jointly and individually statistically significant at a 90% level of confidence and select the preferred regression model. Explain your selection using the appropriate regression statistics.
Interpret the coefficient for each independent variable (or variables) associated with your selected preferred regression model.
Using the preferred regression model, predict the sale price of a house with the following values for the independent variables: 3,000 square feet of living area, 3 bedrooms, and 2.5 bathrooms.(Hint: You should only use the values for those independent variables that are specifically associated with your selected preferred regression model.)
Prepare a single Microsoft Excel file using a separate worksheet for each question
Week 7 Assignment
Question 1 Assume you have noted the following prices for paperback books and the number of pages that each book contains. ...
Week 7 Assignment
Question 1 Assume you have noted the following prices for paperback books and the number of pages that each book contains. Develop a least-squares estimated regression line. Compute the coefficient of determination and explain its meaning.Compute the correlation coefficient between the price and the number of pages. Test to see if x and y are related. Use α = 0.10.Question 2The following data represent a company's yearly sales volume and its advertising expenditure over a period of 8 years. Develop a scatter diagram of sales versus advertising and explain what it shows regarding the relationship between sales and advertising.Use the method of least squares to compute an estimated regression line between sales and advertising.If the company's advertising expenditure is $400,000, what are the predicted sales? Give the answer in dollars.What does the slope of the estimated regression line indicate?Grading Criteria AssignmentsMaximum PointsMeets or exceeds established assignment criteria40Demonstrates an understanding of lesson concepts20Clearly presents well-reasoned ideas and concepts30Uses proper mechanics, punctuation, sentence structure, and spelling10Total100
3 pages
Math125 U4 Ip 10 Wk Problem Set 2005d
For this assignment, you will create a personal budget and compare it to the 50/30/20 budgeting strategy. 2. Show ALL step ...
Math125 U4 Ip 10 Wk Problem Set 2005d
For this assignment, you will create a personal budget and compare it to the 50/30/20 budgeting strategy. 2. Show ALL step-by-step calculations, and ...
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