 103.1: Notation and Terminology If we use the paired height/pulse data for...
 103.2: . BestFit Line In what sense is the regression line the straight li...
 103.3: Correlation and Slope Formula 103 shows that the slope of a regress...
 103.4: Notation What is the difference between the regression equation y ^...
 103.5: Making Predictions. In Exercises 58, let the predictor variable x b...
 103.6: Making Predictions. In Exercises 58, let the predictor variable x b...
 103.7: Making Predictions. In Exercises 58, let the predictor variable x b...
 103.8: Making Predictions. In Exercises 58, let the predictor variable x b...
 103.9: Finding the Equation of the Regression Line. In Exercises 9 and 10,...
 103.10: Finding the Equation of the Regression Line. In Exercises 9 and 10,...
 103.11: Effects of an Outlier Refer to the Minitabgenerated scatterplot giv...
 103.12: Effects of Clusters Refer to the Minitabgenerated scatterplot given...
 103.13: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.14: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.15: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.16: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.17: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.18: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.19: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.20: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.21: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.22: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.23: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.24: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.25: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.26: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.27: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.28: Regression and Predictions. Exercises 1328 use the same data sets a...
 103.29: Large Data Sets. Exercises 2932 use the same Appendix B data sets a...
 103.30: Large Data Sets. Exercises 2932 use the same Appendix B data sets a...
 103.31: Large Data Sets. Exercises 2932 use the same Appendix B data sets a...
 103.32: Large Data Sets. Exercises 2932 use the same Appendix B data sets a...
 103.33: Equivalent Hypothesis Tests Explain why a test of the null hypothes...
 103.34: LeastSquares Property According to the leastsquares property, the r...
Solutions for Chapter 103: Regression
Full solutions for Elementary Statistics  12th Edition
ISBN: 9780321836960
Solutions for Chapter 103: Regression
Get Full SolutionsChapter 103: Regression includes 34 full stepbystep solutions. This expansive textbook survival guide covers the following chapters and their solutions. Since 34 problems in chapter 103: Regression have been answered, more than 218336 students have viewed full stepbystep solutions from this chapter. Elementary Statistics was written by and is associated to the ISBN: 9780321836960. This textbook survival guide was created for the textbook: Elementary Statistics, edition: 12.

Acceptance region
In hypothesis testing, a region in the sample space of the test statistic such that if the test statistic falls within it, the null hypothesis cannot be rejected. This terminology is used because rejection of H0 is always a strong conclusion and acceptance of H0 is generally a weak conclusion

Average
See Arithmetic mean.

Binomial random variable
A discrete random variable that equals the number of successes in a ixed number of Bernoulli trials.

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

Causeandeffect diagram
A chart used to organize the various potential causes of a problem. Also called a ishbone diagram.

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.

Components of variance
The individual components of the total variance that are attributable to speciic sources. This usually refers to the individual variance components arising from a random or mixed model analysis of variance.

Contingency table.
A tabular arrangement expressing the assignment of members of a data set according to two or more categories or classiication criteria

Correction factor
A term used for the quantity ( / )( ) 1 1 2 n xi i n ? = that is subtracted from xi i n 2 ? =1 to give the corrected sum of squares deined as (/ ) ( ) 1 1 2 n xx i x i n ? = i ? . The correction factor can also be written as nx 2 .

Correlation matrix
A square matrix that contains the correlations among a set of random variables, say, XX X 1 2 k , ,…, . The main diagonal elements of the matrix are unity and the offdiagonal elements rij are the correlations between Xi and Xj .

Defect concentration diagram
A quality tool that graphically shows the location of defects on a part or in a process.

Degrees of freedom.
The number of independent comparisons that can be made among the elements of a sample. The term is analogous to the number of degrees of freedom for an object in a dynamic system, which is the number of independent coordinates required to determine the motion of the object.

Deming
W. Edwards Deming (1900–1993) was a leader in the use of statistical quality control.

Error sum of squares
In analysis of variance, this is the portion of total variability that is due to the random component in the data. It is usually based on replication of observations at certain treatment combinations in the experiment. It is sometimes called the residual sum of squares, although this is really a better term to use only when the sum of squares is based on the remnants of a modelitting process and not on replication.

Error variance
The variance of an error term or component in a model.

Estimator (or point estimator)
A procedure for producing an estimate of a parameter of interest. An estimator is usually a function of only sample data values, and when these data values are available, it results in an estimate of the parameter of interest.

Experiment
A series of tests in which changes are made to the system under study

Frequency distribution
An arrangement of the frequencies of observations in a sample or population according to the values that the observations take on

Geometric mean.
The geometric mean of a set of n positive data values is the nth root of the product of the data values; that is, g x i n i n = ( ) = / w 1 1 .

Geometric random variable
A discrete random variable that is the number of Bernoulli trials until a success occurs.