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1.A quality manager is developing a regression model to predict the total number of defects as...

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Statistics

1.A quality manager is developing a regression model to predictthe total number of defects as a function of the day of week theitem is produced. Production runs are done 10 hours a day, 7 days aweek. The dependent variable is ______.


b) number of production runs
c) number of defects
d) production run
e) percentage of defects


2) In the equation y = m x + b, which represents a straight lime, bis the __________.
a) slope of the line
b) origin
c) y-intercept of the line
d) x-intercept of the line


3) Determine the Pearson product-moment correlation coefficient forthe following data.
x 1 11 9 6 5 3 2
y 10 4 4 5 7 7 9

Answer & Explanation Solved by verified expert
4.3 Ratings (688 Votes)
Here The answer of all above Questions with detailed explanation is given below 1 Dependent variable is Number Of defects Here the quality manager wants to predict the number of defects of product Here the number of defects in depends upon the number of production Runs    See Answer
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