Filters
Question type
Study Flashcards

For the following data, the value of SSE = 12.75. For the following data, the value of SSE = 12.75. ​ The y-intercept is A) -1.5. B) 24.25. C) .50. D) -.71. ​ The y-intercept is


A) -1.5.
B) 24.25.
C) .50.
D) -.71.

Correct Answer

verifed

verified

Given the following information, what is the coefficient of determination? Given the following information, what is the coefficient of determination? SSE = 420.4, SST = 1028.8 A) .7690. B) -.5914. C) .5914. D) .4086. SSE = 420.4, SST = 1028.8


A) .7690.
B) -.5914.
C) .5914.
D) .4086.

Correct Answer

verifed

verified

In a regression analysis, the coefficient of determination is .4225.The coefficient of correlation in this situation is


A) -.65 if b1 is negative.
B) .1785.
C) .18 if b1 is positive.
D) .4225.

Correct Answer

verifed

verified

In a regression analysis, the coefficient of correlation is .15.The coefficient of determination in this situation is


A) .3873.
B) .0225.
C) 4.00.
D) 2.56.

Correct Answer

verifed

verified

A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . A regression and correlation analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x) . ​ The sample correlation coefficient equals A) .8045. B) -.8045. C) .3528. D) -.3528. ​ The sample correlation coefficient equals


A) .8045.
B) -.8045.
C) .3528.
D) -.3528.

Correct Answer

verifed

verified

You are given the following information about y and x. You are given the following information about y and x. ​ The sample correlation coefficient equals A) 0. B) +1. C) -1. D) -.5. ​ The sample correlation coefficient equals


A) 0.
B) +1.
C) -1.
D) -.5.

Correct Answer

verifed

verified

If the coefficient of correlation is .4, then the slope of the regression line


A) must also be .4.
B) can be either negative or positive.
C) must be positive.
D) must be .16.

Correct Answer

verifed

verified

A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the following equation: ​ A regression analysis between sales (y in $1000) and advertising (x in dollars) resulted in the following equation: ​ = 30,000 + 5x ​ The above equation implies that an A) increase of $4 in advertising is associated with an increase of $5000 in sales. B) increase of $1 in advertising is associated with an increase of $5 in sales. C) increase of $1 in advertising is associated with an increase of $34,000 in sales. D) increase of $1 in advertising is associated with an increase of $5000 in sales. = 30,000 + 5x ​ The above equation implies that an


A) increase of $4 in advertising is associated with an increase of $5000 in sales.
B) increase of $1 in advertising is associated with an increase of $5 in sales.
C) increase of $1 in advertising is associated with an increase of $34,000 in sales.
D) increase of $1 in advertising is associated with an increase of $5000 in sales.

Correct Answer

verifed

verified

When interpreting a correlation coefficient of .93, you would say that there is a _____ linear relationship between x and y.


A) strong positive
B) weak positive
C) weak negative
D) strong negative

Correct Answer

verifed

verified

For the following data, the value of SSE = 12.75. For the following data, the value of SSE = 12.75. ​ The coefficient of determination (r<sup>2</sup>) equals A) .7651. B) -.7651. C) .5854. D) -.5854. ​ The coefficient of determination (r2) equals


A) .7651.
B) -.7651.
C) .5854.
D) -.5854.

Correct Answer

verifed

verified

Given the following information, the coefficient of determination is Given the following information, the coefficient of determination is SSE = 420.4, SST = 1028.8 A) .7690. B) -.5914. C) .5914. D) .4086. SSE = 420.4, SST = 1028.8


A) .7690.
B) -.5914.
C) .5914.
D) .4086.

Correct Answer

verifed

verified

Showing 121 - 131 of 131

Related Exams

Exam 1

Data and Statistics

84 Questions

Exam 2

Descriptive Statistics: Tabular and Graphical Displays

67 Questions

Exam 3

Descriptive Statistics: Numerical Measures

127 Questions

Exam 4

Introduction to Probability

99 Questions

Exam 5

Discrete Probability Distributions

86 Questions

Exam 6

Continuous Probability Distributions

120 Questions

Exam 7

Sampling and Sampling Distributions

117 Questions

Exam 8

Interval Estimation

144 Questions

Exam 9

Hypothesis Tests

129 Questions

Exam 10

Inference About Means and Proportions With Two Populations

85 Questions

Exam 11

Inferences About Population Variances

85 Questions

Exam 12

Comparing Multiple Proportions, Tests of Independence and Goodness of Fit

59 Questions

Exam 13

Experimental Design and Analysis of Variance

80 Questions

Exam 15

Multiple Regression

103 Questions

Show Answer