BA6933 Ch-13

1.In regression analysis, the independent variable is typically plotted on the _____.
A) x-axis of a scatter diagram

2.If the coefficient of correlation is .4, the percentage of variation in the dependent variable explained by the estimated regression equation _____.
A) is 16%

3.The equation that describes how the dependent variable (y) is related to the independent variable (x) is called _____.
A) the regression model

4.Regression analysis is a statistical procedure for developing a mathematical equation that describes how _____.
A) one dependent and one or more independent variables are related

5.A procedure used for finding the equation of a straight line that provides the best approximation for the relationship between the independent and dependent variables is ______.
A) the least squares method

6.A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the following equation: The above equation implies that an increase of _.

A) $1 in advertising is associated with an increase of $6,000 in sales

7.Regression analysis was applied between sales (in $1000s) and advertising (in $100s), and the following regression function was obtained.= 500 + 4x
Based on the above estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is _____.
A) $900,000

8.In a regression analysis, the variable that is used to predict the dependent variable ______.
A) is the independent variable

9.As the goodness of fit for the estimated regression equation increases, the _____.
A) value of the coefficient of determination increases

10.A least squares regression line ______.
A) may be used to predict a value of y if the corresponding x value is given

11.The least squares criterion is _____.
A) min E (yi – y^i)2

12.The difference between the observed value of the dependent variable and the value predicted by using the estimated regression equation is called _____.
A) a residual

13.A regression analysis between sales (in $1000s) and price (in dollars) resulted in the following equation:= 50,000 − 8x
The above equation implies that an increase of _____.
A) $1 in price is associated with a decrease of $8,000 in sales

14.It is possible for the coefficient of determination to be _____.
A) less than 1

15.The proportion of the variation in the dependent variable y that is explained by the estimated regression equation is measured by the _____.
A) coefficient of determination

16.In regression analysis, the independent variable is typically plotted on the _____.
A) x-axis of a scatter diagram

17.If the coefficient of correlation is .4, the percentage of variation in the dependent variable explained by the estimated regression equation _____.
A) is 16%

18.In an analysis of variance problem, if SST = 120 and SSTR = 80, then SSE is _____.
A) 40

19.In an analysis of variance where the total sample size for the experiment is nT and the number of populations is k, the mean square within treatments is _____.
A) SSE/(nT – k)

20.To determine whether the means of two populations are equal, _____.
A) either a t test or an analysis of variance can be performed

21.An ANOVA procedure is applied to data obtained from 6 samples where each sample contains 20 observations. The degrees of freedom for the critical value of F are _____.
A) 5 numerator and 114 denominator degrees of freedom

22.In an analysis of variance problem involving three treatments and 10 observations per treatment, SSE = 399.6. The MSE for this situation is _____.
A) 14.8

23.In the ANOVA, treatment refers to _____.
A) different levels of a factor

24.When an analysis of variance is performed on samples drawn from k populations, the mean square between treatments (MSTR) is _____.
A) SSTR/(k – 1)

25.In the ANOVA, treatment refers to _____.
A) different levels of a factor

26.The critical F value with 6 numerator and 60 denominator degrees of freedom at α = .05 is _____.
A) 2.25

27.A term that means the same as the term “variable” in an ANOVA procedure is _____.
A) factor

28.The required condition for using an ANOVA procedure on data from several populations is that the _____.
A) sampled populations have equal variances

29.Exhibit 13-1
SSTR = 6,750 H0: μ1 = μ2 = μ3 = μ4
SSE = 8,000 Ha: At least one mean is different
nT = 20
Refer to Exhibit 13-1. The null hypothesis _____.
A) should be rejected

30.An experimental design where the experimental units are randomly assigned to the treatments is known as _____.
A) completely randomized design

31.In the ANOVA, treatment refers to _____.
A) different levels of a factor

32.The independent variable of interest in an ANOVA procedure is called _____.
A) a factor

33.The F ratio in a completely randomized ANOVA is the ratio of _____.
A) MSTR/MSE

34.The critical F value with 6 numerator and 60 denominator degrees of freedom at α = .05 is _____.
A) 2.25

35.In the analysis of variance procedure (ANOVA), factor refers to _____.
A) the independent variable

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