Loose Leaf for Statistical Techniques in Business and Economics
17th Edition
ISBN: 9781260152647
Author: Douglas A. Lind
Publisher: McGraw-Hill Education
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Chapter 18, Problem 1.8PT
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Chapter 18 Solutions
Loose Leaf for Statistical Techniques in Business and Economics
Ch. 18 - Prob. 1SRCh. 18 - Prob. 1ECh. 18 - Prob. 2ECh. 18 - Prob. 2SRCh. 18 - Prob. 3ECh. 18 - Prob. 4ECh. 18 - Prob. 5ECh. 18 - Prob. 6ECh. 18 - Prob. 3SRCh. 18 - Prob. 7E
Ch. 18 - Prob. 8ECh. 18 - Prob. 4SRCh. 18 - Prob. 9ECh. 18 - Prob. 10ECh. 18 - Prob. 5SRCh. 18 - Prob. 11ECh. 18 - Prob. 12ECh. 18 - Prob. 13ECh. 18 - Prob. 14ECh. 18 - Prob. 15ECh. 18 - Prob. 16ECh. 18 - Prob. 17CECh. 18 - Prob. 18CECh. 18 - Prob. 19CECh. 18 - Prob. 20CECh. 18 - Prob. 21CECh. 18 - Prob. 22CECh. 18 - Prob. 23CECh. 18 - Prob. 24CECh. 18 - Prob. 25CECh. 18 - Prob. 26CECh. 18 - Prob. 27CECh. 18 - Prob. 28CECh. 18 - Prob. 29CECh. 18 - Prob. 30CECh. 18 - Prob. 31CECh. 18 - Prob. 32CECh. 18 - Prob. 33CECh. 18 - Prob. 34DACh. 18 - Prob. 35DACh. 18 - Prob. 36DACh. 18 - Prob. 37DACh. 18 - Prob. 1PCh. 18 - Prob. 2PCh. 18 - Prob. 3PCh. 18 - Prob. 1.1PTCh. 18 - Prob. 1.2PTCh. 18 - Prob. 1.3PTCh. 18 - Prob. 1.4PTCh. 18 - Prob. 1.5PTCh. 18 - Prob. 1.6PTCh. 18 - Prob. 1.7PTCh. 18 - Prob. 1.8PTCh. 18 - Prob. 1.9PTCh. 18 - Prob. 1.10PTCh. 18 - Prob. 2.1PTCh. 18 - Prob. 2.2PTCh. 18 - Prob. 2.3PT
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- A perfect straight line sloping downward would produce a correlation coefficient equal to: O A. -1 В. +1 C. -2 D. +2 Generally speaking, if two variables are unrelated (as one increases, the other shows no pattern), the covariance will be: O A. a large negative number B. a positive or negative number close to zero C. a large positive number D. none of the abovearrow_forwardThe coefficient of correlation will be zero if if the relationship between two variables x and y is non-linear. if there is no linear relationship between two variables. if the covariance between two variables x and y is 1. None of the above.arrow_forwardMatch each statement regarding the z-scores of the x and y scores (Zx and Zy) from a scatterplot to the appropriate correlation. Zx scores are both positive and negative ✔ [ Choose ] and Zy scores are mostly close to 0 Most positive Zx scores are paired with positive Zy scores Most positive Zx scores are paired with negative Zy scores A slight majority of negative Zx scores are paired with a slight majority of positive Zy scores moderate negative correlation no correlation strong negative correlation strong positive correlation [Choose ] [Choose ]arrow_forward
- A negative value of the correlation coefficient indicates that the variables are unrelated. O true O Falsearrow_forwardIf it has been determined that there exists a very strong linear relationship between two variables, a and y, then O a. It can be assumed that x causes a change in y O b. No correct answer O c. It can be assumed that y causes a change in x O d. A causal relationship between x and y may not exist.arrow_forwardQ11. Simple linear correlation coefficient r can provide the direction, but not the strength of association between two continuous variables. a. TrueB. FalseC. None of the abovearrow_forward
- A positive correlation coefficient means that there is a relationship between two variables. O Zero Direct O Inverse O Proportionalarrow_forwardIf the coefficient of determination is equal to 1, then the correlation coefficient A. must also be equal to 1 B. can be either -1 or +1 C. must be -1 D. can be any value between -1 to +1arrow_forwardA set of n=6 ordered pairs has the following sums: Sum x=64 Sum xsqrt=814 Sum y=85 Sum y sqrt =1351 Sum xy = 1039 Predict the value of y when x=11 Predict the value of x when y=19 Find the coefficient of linear correlation Are the predictions reliable?arrow_forward
- If all the points in a scatter plot fall precisely on the regression line then the correlation is____ choose one perfect or negative or positivearrow_forwardA positive correlation between two variables, X and Y, indicates that: Group of answer choices as scores on X increase, scores on Y decrease as scores on X increase, scores on Y increase as scores on X decrease, scores on Y increase no relationship between X and Yarrow_forwardThe variables X and Y are significantly correlated. Which of the following can you safely conclude about X and Y? a - The variable X causes the variable Y b - A third variable causes both X and Y c - There is a relationship between X and Y d - None of the abovearrow_forward
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