Quantitative Analysis Explanation Worksheet

4-13 Students in a management science class have just received their grades on the first test. Theinstructor has provided information about the first test grades in some previous classes, as well as the
final averages for the same students. Some of these grades have been sampled and are as follows:
4-14 Using the data in Problem 4-13, test to see if there is a statistically significant relationship between
the grade on the first test and the final average at the 0.05 level of significance. Use the formulas in this
chapter and Appendix D.
4-13 Students in a management science class have just received their grades on the first test. The
instructor has provided information about the first test grades in some previous classes, as well as the
final averages for the same students. Some of these grades have been sampled and are as follows:
4-14 Using the data in Problem 4-13, test to see if there is a statistically significant relationship between
the grade on the first test and the final average at the 0.05 level of significance. Use the formulas in this
chapter and Appendix D.
4-22 The following data give the selling price, square footage, number of bedrooms, and age of houses
that have sold in a neighborhood in the past 6 months. Develop three regression models to predict the
selling price based upon each of the other factors individually. Which of these is best?
4-23 Use the data in Problem 4-22 and develop a regression model to predict selling price based on the
square footage and number of bedrooms. Use this to predict the selling price of a 2,000-square-foot
house with three bedrooms. Compare this model with the models in Problem 4-22. Should the number
of bedrooms be included in the model? Why or why not?
4-22 The following data give the selling price, square footage, number of bedrooms, and age of houses
that have sold in a neighborhood in the past 6 months. Develop three regression models to predict the
selling price based upon each of the other factors individually. Which of these is best?
4-23 Use the data in Problem 4-22 and develop a regression model to predict selling price based on the
square footage and number of bedrooms. Use this to predict the selling price of a 2,000-square-foot
house with three bedrooms. Compare this model with the models in Problem 4-22. Should the number
of bedrooms be included in the model? Why or why not?
4-22 The following data give the selling price, square footage, number of bedrooms, and age of houses
that have sold in a neighborhood in the past 6 months. Develop three regression models to predict the
selling price based upon each of the other factors individually. Which of these is best?
4-23 Use the data in Problem 4-22 and develop a regression model to predict selling price based on the
square footage and number of bedrooms. Use this to predict the selling price of a 2,000-square-foot
house with three bedrooms. Compare this model with the models in Problem 4-22. Should the number
of bedrooms be included in the model? Why or why not?
4-22 The following data give the selling price, square footage, number of bedrooms, and age of houses
that have sold in a neighborhood in the past 6 months. Develop three regression models to predict the
selling price based upon each of the other factors individually. Which of these is best?
4-23 Use the data in Problem 4-22 and develop a regression model to predict selling price based on the
square footage and number of bedrooms. Use this to predict the selling price of a 2,000-square-foot
house with three bedrooms. Compare this model with the models in Problem 4-22. Should the number
of bedrooms be included in the model? Why or why not?