- 28.1: Real estate assessment A house in the upstate New York area from wh...
- 28.2: Chocolate A candy maker surveyed chocolate bars available in a loca...
- 28.3: Movie profit What can predict how much a motion picture will make? ...
- 28.4: Movie profit again A middle manager at an entertainment company, up...
- 28.5: Movie profit once more For the movies examined in Exercises 3 and 4...
- 28.6: Movie profit reconsidered For the movies regression, here is a hist...
- 28.7: Movie profit model tests Regression output for the movies again: a)...
- 28.8: More movie profit tests From the regression output of Exercise 3, a...
- 28.9: Interpreting R2 In the regression model of Exercise 3, a) What is t...
- 28.10: Regression output interpretation Here is another part of the regres...
- 28.11: Interpretations A regression performed to predict selling price of ...
- 28.12: More interpretations A household appliance manufacturer wants to an...
- 28.13: Predicting final exams How well do exams given during the semester ...
- 28.14: Scottish hill races Hill runningraces up and down hillshas a writte...
- 28.15: Home prices Many variables have an impact on determining the price ...
- 28.16: More hill races Here is the regression for the womens records for t...
- 28.17: Predicting finals II Here are some diagnostic plots for the final e...
- 28.18: Home prices II Here are some diagnostic plots for the home prices d...
- 28.19: Secretary performance The AFL-CIO has undertaken a study of 30 secr...
- 28.20: GPA and SATs A large section of Stat 101 was asked to fill out a su...
- 28.21: Body fat, revisited The data set on body fat contains 15 body measu...
- 28.22: Breakfast cereals We saw in Chapter 7 that the calorie content of a...
- 28.23: Body fat again Chest size might be a good predictor of body fat. He...
- 28.24: Grades The table below shows the five scores from an Introductory S...
- 28.25: Fifty states Here is a data set on various measures of the 50 Unite...
- 28.26: Breakfast cereals again We saw in Chapter 7 that the calorie count ...
- 28.27: Burger King revisited Recall the Burger King menu data from Chapter...
Solutions for Chapter 28: Multiple Regression
Full solutions for Stats Modeling the World | 4th Edition
a-error (or a-risk)
In hypothesis testing, an error incurred by failing to reject a null hypothesis when it is actually false (also called a type II error).
All possible (subsets) regressions
A method of variable selection in regression that examines all possible subsets of the candidate regressor variables. Eficient computer algorithms have been developed for implementing all possible regressions
The portion of the variability in a set of observations that can be traced to speciic causes, such as operators, materials, or equipment. Also called a special cause.
An effect that systematically distorts a statistical result or estimate, preventing it from representing the true quantity of interest.
In experimental design, a group of experimental units or material that is relatively homogeneous. The purpose of dividing experimental units into blocks is to produce an experimental design wherein variability within blocks is smaller than variability between blocks. This allows the factors of interest to be compared in an environment that has less variability than in an unblocked experiment.
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.
Completely randomized design (or experiment)
A type of experimental design in which the treatments or design factors are assigned to the experimental units in a random manner. In designed experiments, a completely randomized design results from running all of the treatment combinations in random order.
Another term for the conidence coeficient.
An estimator that converges in probability to the true value of the estimated parameter as the sample size increases.
In the most general usage, a measure of the interdependence among data. The concept may include more than two variables. The term is most commonly used in a narrow sense to express the relationship between quantitative variables or ranks.
In hypothesis testing, this is the portion of the sample space of a test statistic that will lead to rejection of the null hypothesis.
Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.
Discrete uniform random variable
A discrete random variable with a inite range and constant probability mass function.
The amount of variability exhibited by data
A concept in parameter estimation that uses the variances of different estimators; essentially, an estimator is more eficient than another estimator if it has smaller variance. When estimators are biased, the concept requires modiication.
A type of experimental design in which every level of one factor is tested in combination with every level of another factor. In general, in a factorial experiment, all possible combinations of factor levels are tested.
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on
Another name for the normal distribution, based on the strong connection of Karl F. Gauss to the normal distribution; often used in physics and electrical engineering applications
Effects in a fractional factorial experiment that are used to construct the experimental tests used in the experiment. The generators also deine the aliases.