 Chapter 5.5.1: IQ and reading scores. Data on the IQ test scores and reading test ...
 Chapter 5.5.2: The equation of a line. An eccentric professor believes that a chil...
 Chapter 5.5.3: Verify our claims. Example 5.2 gives the equation of the regression...
 Chapter 5.5.4: Bird colonies. One of natures patterns connects the percent of adul...
 Chapter 5.5.5: Growing corn. Exercise 4.28 (page 110) gives data from an agricultu...
 Chapter 5.5.6: How useful is regression? Figure 4.7 (page 107) displays the return...
 Chapter 5.5.7: Does fast driving waste fuel? Exercise 4.6 (page 96) gives data on ...
 Chapter 5.5.8: Bird colonies. Return to the data of Exercise 5.4 (page 122) on spa...
 Chapter 5.5.9: The declining farm population. The number of people living on Ameri...
 Chapter 5.5.11: Education and income. There is a strong positive association betwee...
 Chapter 5.5.12: To earn more, get married? Data show that men who are married, and ...
 Chapter 5.5.13: Are big hospitals bad for you? A study shows that there is a positi...
 Chapter 5.5.14: Figure 5.9 is a scatterplot of reading test scores against IQ test ...
 Chapter 5.5.15: The slope of the line in Figure 5.9 is closest to(a) 1. (b) 0. (c) 1.
 Chapter 5.5.16: The points on a scatterplot lie close to the line whose equation is...
 Chapter 5.5.17: Fred keeps his savings in his mattress. He began with $500 from his...
 Chapter 5.5.18: Starting with a fresh bar of soap, you weigh the bar each day after...
 Chapter 5.5.19: For a biology project, you measure the weight in grams and the tail...
 Chapter 5.5.21: By looking at the equation of the leastsquares regression line in ...
 Chapter 5.5.22: If you had measured the tail length in Exercise 5.19 in centimeters...
 Chapter 5.5.23: Because elderly people may have difficulty standing to have their h...
 Chapter 5.5.24: A study of king penguins looked for a relationship betweenhow deep ...
 Chapter 5.5.25: Measuring water quality. Biochemical oxygen demand (BOD) measuresor...
 Chapter 5.5.26: Sisters and brothers. How strongly do physical characteristics of s...
 Chapter 5.5.27: Heating a home. Exercise 4.27 (page 110) gives data on degreedays ...
 Chapter 5.5.28: Does social rejection hurt? Exercise 4.40 (page 114) gives data fro...
 Chapter 5.5.29: Merlins breeding. Exercise 4.39 (page 113) gives data on the number...
 Chapter 5.5.31: Whats my grade? In Professor Friedmans economics course the correla...
 Chapter 5.5.32: Going to class. A study of class attendance and grades among first...
 Chapter 5.5.33: Keeping water clean. Keeping water supplies clean requires regularm...
 Chapter 5.5.34: Always plot your data! Table 5.1 presents four sets of data prepare...
 Chapter 5.5.35: Drilling into the past. Drilling down beneath a lake in Alaska yiel...
 Chapter 5.5.36: Managing diabetes. People with diabetes must manage their blood sug...
 Chapter 5.5.37: Drilling into the past, continued. Is the outlier in Exercise 5.35 ...
 Chapter 5.5.38: Managing diabetes, continued. Add three regression lines for predic...
 Chapter 5.5.39: Influence in regression. The Correlation and Regression applet allo...
 Chapter 5.5.41: Climate change. Global warming has many indirect effects on climate...
 Chapter 5.5.42: A computer game. A multimedia statistics learning system includes a...
 Chapter 5.5.43: Climate change: look more closely. The report from which the data i...
 Chapter 5.5.44: Using residuals. It is possible that the subject in Exercise 5.42 g...
 Chapter 5.5.45: How residuals behave. Return to the merlin data of Exercise 4.39 (p...
 Chapter 5.5.46: Using residuals. Make a residual plot (residual against explanatory...
 Chapter 5.5.47: Do artificial sweeteners cause weight gain? People who use artifici...
 Chapter 5.5.48: Learning online. Many colleges offer online versions of courses tha...
 Chapter 5.5.49: What explains grade inflation? Students at almost all colleges and ...
 Chapter 5.5.51: Workers incomes. Here is another example of the group effect cautio...
 Chapter 5.5.52: Some regression math. Use the equation of the leastsquares regress...
 Chapter 5.5.53: Will I bomb the final? We expect that students who do well on the m...
 Chapter 5.5.54: Is regression useful? In Exercise 4.37 (page 113) you used the Corr...
 Chapter 5.5.55: Guessing a regression line. In the Correlation and Regression apple...
Solutions for Chapter Chapter 5: Regression
Full solutions for The Basic Practice of Statistics  4th Edition
ISBN: 9780716774785
Solutions for Chapter Chapter 5: Regression
Get Full SolutionsThis expansive textbook survival guide covers the following chapters and their solutions. Since 50 problems in chapter Chapter 5: Regression have been answered, more than 10673 students have viewed full stepbystep solutions from this chapter. The Basic Practice of Statistics was written by and is associated to the ISBN: 9780716774785. Chapter Chapter 5: Regression includes 50 full stepbystep solutions. This textbook survival guide was created for the textbook: The Basic Practice of Statistics, edition: 4.

Addition rule
A formula used to determine the probability of the union of two (or more) events from the probabilities of the events and their intersection(s).

Arithmetic mean
The arithmetic mean of a set of numbers x1 , x2 ,…, xn is their sum divided by the number of observations, or ( / )1 1 n xi t n ? = . The arithmetic mean is usually denoted by x , and is often called the average

Assignable cause
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.

Asymptotic relative eficiency (ARE)
Used to compare hypothesis tests. The ARE of one test relative to another is the limiting ratio of the sample sizes necessary to obtain identical error probabilities for the two procedures.

Bernoulli trials
Sequences of independent trials with only two outcomes, generally called “success” and “failure,” in which the probability of success remains constant.

Biased estimator
Unbiased estimator.

Bimodal distribution.
A distribution with two modes

Causal variable
When y fx = ( ) and y is considered to be caused by x, x is sometimes called a causal variable

Central tendency
The tendency of data to cluster around some value. Central tendency is usually expressed by a measure of location such as the mean, median, or mode.

Chisquare (or chisquared) random variable
A continuous random variable that results from the sum of squares of independent standard normal random variables. It is a special case of a gamma random variable.

Coeficient of determination
See R 2 .

Conditional mean
The mean of the conditional probability distribution of a random variable.

Convolution
A method to derive the probability density function of the sum of two independent random variables from an integral (or sum) of probability density (or mass) functions.

Counting techniques
Formulas used to determine the number of elements in sample spaces and events.

Crossed factors
Another name for factors that are arranged in a factorial experiment.

Cumulative sum control chart (CUSUM)
A control chart in which the point plotted at time t is the sum of the measured deviations from target for all statistics up to time t

Discrete random variable
A random variable with a inite (or countably ininite) range.

Estimate (or point estimate)
The numerical value of a point estimator.

Finite population correction factor
A term in the formula for the variance of a hypergeometric random variable.

Harmonic mean
The harmonic mean of a set of data values is the reciprocal of the arithmetic mean of the reciprocals of the data values; that is, h n x i n i = ? ? ? ? ? = ? ? 1 1 1 1 g .